Careers at Monzo

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK) | 💰 Base salary for this role is £112,000 - £145,000 + Incentive Awards tied to your performance + Benefits Engineering Management at Monzo: Engineering Managers at Monzo are part of cross-functional, autonomous teams and groups. Our teams are mission driven, and typically include Product Managers, backend, web and mobile engineers as well as data scientists, designers and subject matter experts relevant to that mission. Teams are organised into groups, and then collectives - we aim to keep our line management structure as shallow as possible, and for teams to directly own decision making relevant to their work. The Engineering Manager role at Monzo is split into three pillars - people, product, and technical leadership. Engineering Managers are accountable for the technical and delivery outcomes for their area - that means supporting and developing best in class engineering talent, as well as creating an inclusive team environment for people to do their best work. You can read more on the expectations of Engineering Managers on our Progression Framework . The Role We're continuously hiring Engineering Managers as we continue to grow and build new teams. We hire on a pipeline based approach which means your application will be considered across all of our open EM positions. We use the interview process to assess your strengths and we'll match you to a role that best aligns with your experience. Of course, this is a collaborative process so you can also tell us which roles you're most interested in as you progress through interviews 😊 We're currently hiring across Platform, Core App, and Expansion. You’ll spend your time: Taking accountability for delivery across your squad(s), collaborating with the Technical Lead and Product Manager. Actively fostering a high bar for engineering excellence within your teams. You’re accountable for the technical outcomes your teams deliver alongside individual engineer performance and growth, so holding a high bar (and clearly articulating your expectations) is key. You’ll initially lead a group of around 7-10 engineers (depending on the role) and support, coach and develop them through their career with regular 1:1s and continuous feedback. Partner with senior engineers in your area to drive technical initiatives that raise the bar for our engineering practices. Lead on communication with stakeholders from other teams, creating focus space for engineers to do their best work. Collaborate with the wider engineering organisation to contribute to company-wide best managerial and technical practices and standards. You should apply if: While this is not a role which requires hands-on-coding, we are looking for an experienced manager who has a strong technical and delivery background and has worked as a software engineer in previous roles. We recognise that engineering managers lead in different ways, we’re looking for someone who: Is comfortable operating with ambiguous problem areas with a high degree of autonomy. It’s a bonus if you have experience working in an experimentation led environment. Has delivery experience and is able to guide the squads in achieving their outcomes. Focuses on outcomes over processes, who optimises for the highest impact and leverage. Is able to input, understand and challenge engineering decisions - but to empower the team to make those decisions themselves Has an understanding of what good looks like for a high-performing team of engineers and ability to chart a course to get there Is able to to coach people to achieve their goals Has a natural ability to inspire and motivate a team We consider your application across all open EM roles at Monzo independent of which role you've applied for, so if you've recently applied to a similar role at Monzo and have been unsuccessful, please wait 6 months before applying again. How we work 💻: Locations & Flexible Working : Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨ Work the way that works for you with Monzo! 💼 The interview process: After an initial informal 30 min recruiting call, our interview process involves two main stages: Initial Call Interview (1 hour) You'll meet with one of our Senior Engineering Managers or Engineering Directors. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They’ll ask example based questions (‘Tell me about a time when…’) Loop Stage (3 hours 30 mins) The Loop stage consists of 3 x 60 min interviews that take place over 1-2 days (depending on your availability) and one 30 minute reverse interview (more details below). The Loop is one stage, and the interviews in the Loop are: - Team and Org Management (1 hour) An example based interview with 1-2 of our engineering leaders. They’re interested to hear examples from your previous experience on the teams you’ve led, how you’ve shaped and partnered with product, and the impact you had. - System Design (1 hour) You'll partner with a Staff or Principal Engineer on a technical whiteboarding exercise. - Behavioural (1 hour) Similar to Team and Org Management, this is an example based interview with 1-2 Engineering Leaders. This interview focuses on your people leadership style and core behaviours as an Engineering Manager. - Chat with an Engineering Leader (30 mins) At Monzo, we believe interviews are a two-way street. This will be your opportunity to ask us any questions about Monzo, engineering leadership or our teams – whatever’s on your mind. All things going well, you'll have completed the hiring process 🚀 Our average process takes around 3-4 weeks but we will always work around your availability. You’ll have the chance to speak to our recruitment team throughout the process. What’s in it for you: 💰 Base salary for this role is £112,000 - £145,000 + Incentive Awards tied to your performance ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍We offer flexible working with no company mandate on how often you need to come into the office. You can be London based or remote within the UK (with ad hoc visits to our London office). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here We're usually always hiring for Engineering Managers, so there's no closing date for this job. #LI-AL1 #LI-REMOTE Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Barcelona | UK remote | 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits | Technology - Data About our Data Science Teams: We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! What you’ll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Our interview process involves: Recruiter Call Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What’s in it for you: 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits ✈️ We can help you relocate to the UK or Spain ✅ We can sponsor visas 📍This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. #LI-NB2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Barcelona | UK remote | 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits | Technology - Data About our Data Science Teams: We're looking for a Lead Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2026 and help us to build a bank that customers truly love. At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses. How we hire We are excited to be expanding and are hiring for multiple roles across our Data Science teams! Whether your interests lie in Borrowing, Growth, Payments, Fincrime, Wealth, or Core, we are looking for talented individuals with a versatile skill set to contribute across our squads. While we allocate teams after the interview process, we aim to match your skills and aspirations with the most suitable role. Throughout the process, you will meet team members from across our Data Science collectives, who will guide you through the opportunities available. Join us and be part of shaping our future! What you’ll be working on: Lead the data strategy and continue to evolve Monzo for our customers to make it magically simple to manage money day-to-day Develop and execute best practices for experimentation enabling our team to make data informed decisions Collaboratively set standards and work with data across Monzo, fostering knowledge sharing and continuously improving data practices. Work closely with leaders in product, engineering, design and research to build and iterate on product ideas You should apply if: You enjoy working with cross functional fast moving teams You are able to think strategically about commercial products and how decisions using data can unlock more value for our customers You are excited about mentoring other data scientists and analytics engineers You are excited by experimentation and utilising new data techniques to solve challenging problems You want to understand the nuances of our data and are excited about laying the key foundational knowledge for our new products and features You are opinionated about how to think about measuring success and are willing to challenge the status quo The interview process: Our interview process involves: Recruiter Call Initial Call Technical assessment Final Interviews Business Fit/Collaboration Case Study Technical Interview Our average process takes around 2-3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process. One of our recruiters has written a blog on the process, for extra details, hints and tips please see Data Hiring at Monzo What’s in it for you: 💰 £95,000 to £130,000 + Incentive Awards tied to your performance + Benefits ✈️ We can help you relocate to the UK or Spain ✅ We can sponsor visas 📍This role can be based in our London or Barcelona offices, but we're also open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance. #LI-NB2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning Business Banking team Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively. As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs. What you'll be working on As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll: Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum. Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers. Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics. Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs. Design robust evaluation and monitoring so we can ship responsibly and measure impact in production. Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting). Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor. Set technical standards, mentor others, and support experimentation and iteration. You should apply if What we’re doing here at Monzo excites you! You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company. You have experience developing and shipping state-of-the-art ML models to production and delivering business impact. You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production. You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. You speak Python fluently and have extensive, hands-on experience with scikit-learn . You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices. You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. You want to be involved in building a product that small businesses use to run and manage their financial lives every day. You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain. You’re adaptable, curious and enjoy learning new technologies and ideas. You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability. You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use. You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter. Nice to haves Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications. Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software. Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences. Commercial experience writing critical production code and working with microservices. Experience designing experiments, A/B tests or other approaches to measure product and customer impact. Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important. The interview process Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute call with hiring manager Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance #LI-REMOTE #LI-SR1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning Business Banking team Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively. As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs. What you'll be working on As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll: Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum. Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers. Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics. Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs. Design robust evaluation and monitoring so we can ship responsibly and measure impact in production. Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting). Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor. Set technical standards, mentor others, and support experimentation and iteration. You should apply if What we’re doing here at Monzo excites you! You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company. You have experience developing and shipping state-of-the-art ML models to production and delivering business impact. You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production. You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so. You speak Python fluently and have extensive, hands-on experience with scikit-learn . You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices. You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity. You want to be involved in building a product that small businesses use to run and manage their financial lives every day. You have a product mindset: you care about customer outcomes and you want to make data-informed decisions. You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain. You’re adaptable, curious and enjoy learning new technologies and ideas. You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability. You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use. You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter. Nice to haves Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications. Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software. Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences. Commercial experience writing critical production code and working with microservices. Experience designing experiments, A/B tests or other approaches to measure product and customer impact. Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important. The interview process Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute call with hiring manager Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance #LI-REMOTE #LI-SR1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK) | 💰 £79,000 - £93,000 + Incentive Awards tied to your performance + Benefits 🌟 About the team: Our Borrowing (lending) business is growing rapidly across both existing products and with the planned launch of new initiatives. As our lending portfolio grows, our second line of defence Credit Model Validation team is growing with it - and we’re looking for a Credit Model Validation Manager to join us! Our Credit Model Validation team is crucial in providing independent oversight and challenge to our model development teams in the first line of defence to help Monzo grow safely and ensure that the models we use deliver good outcomes for our customers. We’re looking for someone (maybe you?!) to join our validation squad and provide expert independent validation and oversight across our suite of credit models, covering critical business disciplines such as credit strategy and impairment. You’ll have a particular focus on models used for customer-level decisioning and defining our credit strategies - such as underwriting scorecards, origination PD models and Net Present Value (NPV) / unit economics models - across all our lending products. Strong data and analytical skills are a must, as is deep expertise in credit risk modelling. You’ll have hands-on experience in either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. 🔑 You’ll play a key role by… Leading hands-on independent validation of models used for credit decisioning within our Borrowing strategies - covering a range of machine learning, decision science and NPV models. You will be ensuring that models are fit for purpose, appropriately governed, explainable and performing as expected Supporting oversight and validation of broader credit risk models, including IFRS9, stress testing and economic response models Developing deep understanding of Monzo’s credit models, and using this to provide impactful input and challenge to model developers to improve our modelling capabilities Reviewing ongoing model performance monitoring to ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is required Performing statistical analyses to independently assess model performance, including developing challenger models where appropriate to test model assumptions and strengthen validation conclusions Improving our Model Risk Framework, including overseeing our policies, standards and procedures to help embed best practice across the business. This means making sure we follow up-to-date regulatory guidelines, and adapt our processes to make sure they remain relevant as modelling techniques evolve Writing clear and impactful model validation reports, and presenting the findings and actions in relevant committees Partnering with colleagues in the first line of defence credit strategy and modelling teams - and wider risk teams across Monzo - to support the embedding of our model risk framework and establishing consistent validation standards across the organisation Embracing new and innovative technology, including leading the adoption of AI tools to enhance our model validation approach 🤩 We’d love to hear from you if… Have a strong background and practical experience in credit model development and/or validation - in particular with exposure to machine learning or statistical models used in credit decisioning, such as decision science scorecards, origination / underwriting PD models, and NPV / unit economics modelling Are data driven, with strong analytical skills and deep understanding of statistical techniques for credit and model risk. Being able to get hands on with data is critical - so strong SQL and Python skills are essential, and experience with data visualisation tools such as Tableau, Looker or similar is a plus! Understand how models are used in real-time decisioning and lending strategies, and how to balance commercial and risk outcomes Have strong written and verbal communication skills, and are able to articulate problems and solutions using clear and simple language. This is particularly important for breaking down complex issues and priorities to non-experts Have a track record of building and maintaining trusting relationships with stakeholders at all levels, and can provide effective and respectful challenge Are impact-driven, and proactive in identifying issues and opportunities to improve outcomes for both our customers and our business Are passionate about technology, and what we’re doing here at Monzo excites you! Our technology stack We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics infrastructure dbt and BigQuery SQL for our data modelling and warehousing Python for data science and machine learning Go to write our application code AWS for most of our backend infrastructure The interview process: Our interview process usually involves up to four main stages via Google Hangouts: An initial call with our recruiter A call with our Senior Model Validation Manager, the hiring manager for the role A role-specific call with colleagues from our credit modelling teams. We’ll share a short case study in advance, but you won’t need to submit a written response; we’ll use it to guide the discussion during the interview. A behavioural interview 🙌 What’s in it for you 💰 £79,000 - £93,000 + Incentive Awards tied to your performance benefits. 📍 This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given MacBooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits . We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here . We’ll close this role once we have enough applications for the next stage, so please apply as soon as you can - we don’t want you to miss out! LinkedIn Tags: #LI-TK1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning Operations team: The challenges are significant: we aim to transform customer service by reducing the time and effort required to resolve issues, enhancing customer confidence and satisfaction. As part of Operations, you’ll be at the forefront of our mission to provide unparalleled customer support experiences. Your role will be pivotal in leveraging state-of-the-art machine learning techniques (including LLMs and autonomous agents) to understand customer problems. You will lead the development of an effective human-in-the-loop system that augments automation with the efforts of our support workforce (who we call COps). This allows us to more expediently and efficiently predict, identify, disambiguate, and route customer problems at scale to support a rapidly expanding company with global ambitions across multiple geographies. You’ll be working closely with a team of Machine Learning Scientists in Operations, embedded in product squads alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers, and operations specialists. Your day-to-day: As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross-functional product squad, working closely with product managers, data scientists, backend engineers, and designers in an agile environment. You’ll also be a technical leader within the wider Machine Learning discipline, helping to steer technical work and drive up standards. This will involve: Working with stakeholders across the organisation to identify and scope out the most impactful opportunities to transform Customer Operations with Machine Learning. Leading the design and development of advanced Machine Learning models, exploring how LLMs, RAG, and sequence-based architectures can drive improvements in query resolution and routing. Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Steering ongoing technical strategy, working closely with our MLOps team and backend engineers to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should apply if: What we’re doing here at Monzo excites you! You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices you’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity you want to be involved in building a product that you (and the people you know) use every day you have a product mindset: you care about customer outcomes and you want to make data-informed decisions You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain You’re adaptable, curious and enjoy learning new technologies and ideas Nice to haves: Experience working with customer operations, capacity planning, forecasting, or in regulated institutions. Commercial experience writing critical production code and working with microservices. The interview process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute call with hiring manager Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance #LI-REMOTE #LI-SR1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨ About our Machine Learning FinCrime Team: Our Financial Crime Data team consists of over 25 people across 4 data specialisms: Analytics Engineers, Data Analysts, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll be working in a fast moving environment, building and iterating on our financial crime defensive capabilities to ensure we keep Monzo and our customers safe. Our financial crime team has a large impact on Monzo’s bottom line as fraud and scams are usually some of the largest cost line items in a bank's P&L. We have a major influence on the overall customer experience and it’s our duty to keep our customers safe. The work we do results in directly measurable customer or company benefit, which is incredibly satisfying. Our Machine Learning Scientists work on a range of problems within the different financial crime areas ranging from fraud detection and prevention, transaction monitoring for different types of suspicious activity through to customer risk assessment and operational tooling. What you’ll be working on: A Lead Machine Learning Scientist at Monzo is a technical Individual Contributor (IC) leadership position. As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we’ll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models to: Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. The technical approaches you take to help solve these problems will be very much in your hands and we’ll strongly encourage and support experimentation and innovation. We’ll be expecting you to justify and demonstrate effectiveness along the way, making sure the approach meets our business and customer needs. Your day-to-day: As a technical individual contributor, you’ll be providing technical leadership and shipping highly impactful ML-based solutions. You’ll be embedded in a cross functional product squad, working closely with product managers, data scientists, backend engineers and designers in an agile environment. You’ll also be a technical leader within the Machine Learning discipline, helping to steer technical work and drive up standards. This will involve: Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle Financial Crime and Fraud with Machine Learning. Leading the design and development of advanced real time Machine Learning models, for example exploring how neural network, graph-based, and sequence-based architectures can drive improvements in detection of financial crime. Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others. Working closely with our MLOps team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle. You should apply if: What we’re doing here at Monzo excites you! You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company You have experience developing and shipping deep learning, graph-based, and/or sequence-based ML architectures to production and delivering business impact You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so Reducing financial crime and protecting customers with data driven strategies sounds exciting to you You have extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity You want to be involved in building a product that you (and the people you know) use every day You have a product mindset: you care about customer outcomes and you want to make data-informed decisions You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain You’re adaptable, curious and enjoy learning new technologies and ideas Nice to haves: Experience working with financial crime and in regulated institutions Commercial experience writing critical production code and working with microservices The interview process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! 30 minute recruiter call 45 minute call with hiring manager Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for training courses and conferences ➕And much more, see our full list of benefits here If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance #LI-REMOTE #LI-SR1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London / UK Remote | Engineer III 💰 £85,000 - £110,000 base salary per year ➕ share options | Benefits | Technology About our Mobile Engineering discipline Our mobile engineers have a variety of different backgrounds There are ~60 Android engineers at Monzo and we’re looking for more to join the team. We have several non-graduates; only some of us studied Computer Science; some of us have worked in huge companies; some have only ever worked in startups; others are former consultants. As long as you enjoy learning new things, we’d love to talk to you. Monzo works in small, interdisciplinary teams We have around 650 engineers out of roughly 5,500 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you’ll learn heaps about everything from how banks work to effective communication. Your day-to-day We’re searching for product-focused Android engineers to evolve our native mobile app. You’ll take pride in building polished user experiences, and you’ll balance the need for well-tested resilient code with moving fast and iterating. You’ll be working on a product that is a part of day to day life for more than 15 million people already, and your work here will shape the way that people interact with their finances. As an Android Engineer at Monzo you'll work in a small, autonomous product squad alongside iOS Engineers, Backend Engineers, User Researchers, Product Designers, Product Managers, QA Testers, and Data Scientists. You and your team will be responsible for an overall company goal, rather than building a specific feature - you'll have the opportunity to have impact on both what we build, and how we build it. Mobile engineers at Monzo work on everything from the personal banking product to customer support tools. We also have a small mobile platform squad dedicated to enabling other engineers to move faster. Every week we meet as an Android discipline to discuss tools, techniques, problems we're encountering across the company and work together to improve our codebase and processes. You'll report to an engineering manager who will meet with you every 1-2 weeks 1:1. They’re dedicated to helping you grow and develop as an engineer. Our Android app Our app is 100% Kotlin, built using MVVM (Model View ViewModel) and Coordinators, and modularised by product feature. Around 95% of the codebase is in Compose. We use Coroutines, Retrofit and Moshi for API calls and Dagger for dependency injection. We are currently migrating to Kotlinx Serialisation and Metro. Room is our choice for persistence, and we use repositories for interacting with data. We use GitHub Pull Requests to do code reviews, and write unit tests for our ViewModels, Coordinators, and any other classes which contain logic. We write tests for all of our Compose screens and snapshot test them with Happo. We also use Espresso to test flows, which are executed via our continuous integration system. We’ve previously written about building Monzo Chat on Android, which goes into detail on some of these elements. You should apply if You care about the impact your work has on our customers, and optimise for outcomes rather than the number of lines of code you output You’re excited about and have experience in programming in Kotlin You’ve shipped and iterated on at least one app in the Play Store You have a product mindset: you care about customer outcomes and you want to make data-informed decisions You love turning excellent design into beautiful products You’re comfortable working in a team that deals with ambiguity You have an understanding computer science principles The Interview Process Our interview process involves three main stages: Initial Call Take home task or pair coding exercise Final interview including a system design and a behavioural interview Our average process takes around 2-3 weeks but we will always work around your availability. There’s a detailed blog on the interview process , for extra details, hints and tips. How we work 💻: Locations & Flexible Working : Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨ Work the way that works for you with Monzo! 💼 What’s in it for you 💰 £78,000 - £110,000 base salary per year ➕ plus stock options + Benefits , we also provide all of our engineers with the latest MacBook Pro. ✈️We can help you relocate to the UK ✅We can sponsor visas. 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits here Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍 Barcelona, Spain | 💰 Base salary for this role is depending on experience + Incentive Awards tied to your performance + benefits Hybrid model: 3 days a week in the office ⭐ Our Mobile Engineering team Our mobile engineers have a variety of different backgrounds There are ~60 Android engineers at Monzo and we’re looking for more to join the team. We have several non-graduates; only some of us studied Computer Science; some of us have worked in huge companies; some have only ever worked in startups; others are former consultants. As long as you enjoy learning new things, we’d love to talk to you. Monzo works in small, interdisciplinary teams We have around 650 engineers out of roughly 5,500 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so you’ll learn heaps about everything from how banks work to effective communication. 🔑 You’ll play a key role by... We’re searching for product-focused Android engineers to evolve our native mobile app. You’ll take pride in building polished user experiences, and you’ll balance the need for well-tested resilient code with moving fast and iterating. You’ll be working on a product that is a part of day to day life for more than 11 million people already, and your work here will shape the way that people interact with their finances. As an Android Engineer at Monzo you'll work in a small, autonomous product squad alongside iOS Engineers, Backend Engineers, User Researchers, Product Designers, Product Managers, QA Testers, and Data Scientists. You and your team will be responsible for an overall company goal, rather than building a specific feature - you'll have the opportunity to have impact on both what we build, and how we build it. Mobile engineers at Monzo work on everything from the personal banking product to customer support tools. We also have a small mobile platform squad dedicated to enabling other engineers to move faster. Every week we meet as an Android discipline to discuss tools, techniques, problems we're encountering across the company and work together to improve our codebase and processes. You'll report to an engineering manager who will meet with you every 1-2 weeks 1:1. They’re dedicated to helping you grow and develop as an engineer. Our Android app Our app is 100% Kotlin, built using MVVM (Model View ViewModel) and Coordinators, and modularised by product feature. We use RxJava, Retrofit and Moshi for API calls and Dagger for dependency injection. We’re starting to use Coroutines for most new features. Room is our choice for persistence, and we use repositories for interacting with data. We’ve built out our design system with Compose. We use GitHub Pull Requests to do code reviews, and write unit tests for our ViewModels, Coordinators, and any other classes which contain logic. We write tests for all of our Compose screens and snapshot test them with Happo. We also use Espresso to test flows, which are executed via our continuous integration system. We’ve previously written about building Monzo Chat on Android, which goes into detail on some of these elements. 🤩 We’d love to hear from you if… You care about the impact your work has on our customers, and optimise for outcomes rather than the number of lines of code you output You’re excited about and have experience in programming in Kotlin You’ve shipped and iterated on at least one app in the Play Store You have a product mindset: you care about customer outcomes and you want to make data-informed decisions You love turning excellent design into beautiful products You’re comfortable working in a team that deals with ambiguity You have an understanding computer science principles We're on the look out for L30 Engineers at the moment, you can read more in our Engineering Progression Framework you will be interviewed across the whole framework, so if you're not sure what level you're aiming for chat to your recruiter! 🙌 What’s in it for you: 💰Base salary range for this role is depending on experience + equity + stock options & benefits ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of €1,200 a year for books, training courses and conferences 🌈 The application journey has 3 key steps Our interview process involves three main stages: Initial Call Take home task or pair coding exercise Final interview including a system design and a behavioural interview This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. There’s a detailed blog on the interview process , for extra details, hints and tips. We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out. If you're successful in applying for this role, we'll work with you to find a start date. In some cases, there might be a delay in when you can be released from your current role so that we can make sure things continue to run smoothly. We’ll be sure to communicate this with you and keep you updated. LI-JS1 Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊