Careers at Quberesearchandtechnologies

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Quantitative Developer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on. Your future role within QRT Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems Build automation for operations, deployment, monitoring, and incident response Evaluate and implement tools that balance performance, complexity, and maintainability Own and evolve our observability stack: metrics, logs, tracing, and alerts Your Present Skill Set Bachelor's degree in Computer Science or a strongly related field Strong Python programming skills Strong problem-solving skills and deep understanding of computer science fundamentals Commitment to code clarity, documentation, and reducing technical debt Hands-on experience with Linux/Unix systems in production environments Proven track record designing and delivering scalable systems in production environments Knowledge of low-latency systems, trading environments, market data, or exchange protocols QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors. You will join QRT’s Data team as a Software Engineer, working at the intersection of engineering, trading, and research. Your focus will be on delivering scalable systems for reference data management, regulatory and external reporting, and front-office analytics. This role offers direct visibility across the business and the opportunity to collaborate with stakeholders across Execution, Engineering, and Research teams. Every project you work on will contribute to operational efficiency and trading decision-making. Your role at QRT This is primarily a hands-on engineering role (≈80% development), with a smaller component (≈20% support and system ownership) focused on maintaining robustness, reliability, and data quality in production. You’ll work closely with trading, research, risk, and operations teams, gaining strong exposure to the business while building scalable, high-performance systems. What you’ll work on Designing and building scalable, high-performance systems for trade and position lifecycle management Developing solutions to automate lifecycle events such as corporate actions, expiries, and cash flows across asset classes Building and maintaining high-quality reference data platforms used across trading and research Delivering real-time and end-of-day reporting pipelines for internal and external stakeholders Ensuring data accuracy, integrity, and consistency across systems and workflows Contributing to system validation, controls, and operational robustness, including alignment with brokers and fund administrators Collaborating closely with stakeholders to translate business needs into reliable technical solutions Writing well-tested, maintainable code and contributing to CI/CD and deployment pipelines Supporting production systems and continuously improving reliability, monitoring, and performance What we’re looking for 5–10 years of software engineering experience, ideally in a high-performance or data-intensive environment Strong programming skills in Python (experience with C# is a plus) Solid understanding of software design, architecture, and scalable systems Experience working with SQL and relational databases Familiarity with testing frameworks and CI/CD practices Domain experience (one or more is valuable, not required). We’re interested in engineers with exposure to financial markets, particularly: Trade and position lifecycle systems Equities, ETFs, futures, or options Corporate actions and reference data Market structure and exchange-specific behaviour Deep expertise in a single asset class is not required—but an interest in learning and working in a trading environment is important. What will set you apart Experience building systems in a quantitative trading or financial environment Strong problem-solving skills with a focus on performance, scalability, and data quality Ability to operate in a high-impact, fast-paced environment with evolving requirements Clear communication skills and a collaborative mindset Why join QRT? Work on business-critical systems with direct impact on trading outcomes Join a core engineering team with significant ownership and autonomy Collaborate with traders, researchers, and engineers in a highly technical environment Tackle complex data and systems challenges at scale QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a quantitative development function supporting research and trading activities across Commodities, including Agriculture, Metals and Energy. The role focuses on developing Python applications, quantitative tools and data infrastructure that support trading decisions, research and risk management. You will collaborate closely with Quantitative Researchers, Traders, Data Engineers and infrastructure specialists to deliver solutions across alternative data, pricing, backtesting and statistical modelling. Your future role within QRT Design, develop and deploy quantitative tools supporting trading and research, including pricing, backtesting, risk analysis and PnL reporting Build Python applications and data pipelines to explore, integrate and analyse alternative datasets, including weather and cargo data Collaborate with Quantitative Researchers and Traders to translate trading ideas and business requirements into production applications and quantitative models Architect, develop and maintain cloud applications in collaboration with infrastructure engineers, using AWS and related technologies Develop and apply statistical and machine learning models to support research and trading across Agriculture, Metals and Energy Implement quantitative optimisation methods and automate research and trading workflows Monitor, troubleshoot and enhance existing trading and research infrastructure to ensure reliability and performance Your present skillset Minimum 2 years of professional software development experience, with strong Python programming skills or proficiency in another object oriented language Strong understanding of software design principles and experience developing maintainable applications Proficiency with Python numerical and data analysis libraries such as NumPy, Pandas, Polars and Matplotlib Solid SQL skills and experience working with relational databases Experience developing data processing pipelines, ideally using orchestration frameworks such as Airflow Familiarity with AWS or similar cloud platforms and infrastructure as code practices Good understanding of software development practices, including Git, unit testing, packaging and scripting Experience using AI development tools to support coding, debugging and software delivery Strong quantitative and analytical skills, with an interest in financial markets and trading Ability to work autonomously, manage priorities and collaborate effectively with Researchers, Traders and Engineers Previous experience developing quantitative tools or models within Commodities trading is beneficial Experience building dashboards and data visualisation applications using Plotly, Streamlit, Dash or htmx is advantageous Advanced AWS experience, including services such as DynamoDB, RDS, S3, Lambda and AWS CDK, is beneficial Familiarity with Snowflake or similar data platforms is advantageous Experience with parallel or distributed computing frameworks such as Slurm and Ray is beneficial Experience developing statistical or machine learning models is advantageous Previous experience mentoring junior developers or interns is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The Business Data & Analytics (BDA) Team develops applications and business insights for senior stakeholders. Its data platform supports the team’s applications and analytical tools, alongside work in data science, analysis and applied AI. Your future role within QRT We are seeking a Data Engineer to help build and maintain the BDA data platform. You will work directly with business stakeholders, translating open-ended questions into reliable datasets, analyses and tools. The role is expected to involve the following activities: Design, build and operate data pipelines and datasets on AWS using services including S3, Lambda, Step Functions, Glue and Athena. Define infrastructure as code and deliver changes through CI/CD. Integrate internal and external data sources, validating data quality and reliability. Build reporting and BI views and communicate findings to non-technical stakeholders. Use agentic coding tools in day-to-day development and design data and systems that AI agents can use safely. Contribute to LLM-powered projects, including document extraction, natural-language data access and automated data quality. Share ownership of the team’s systems, documenting design decisions, assumptions and limitations. Your present skillset A degree in Computer Science, Engineering, Mathematics, Statistics or another relevant technical discipline. At least three years’ experience building and operating production data pipelines and datasets. Strong hands-on experience with AWS, including IAM. Strong Python and SQL skills, with the ability to write clean, structured and tested code. Experience with infrastructure as code and agentic coding tools, including reviewing and verifying their output. Strong analytical and problem-solving skills, intellectual curiosity and a consulting mindset. A proactive, organised and versatile approach, with enthusiasm for BI, analysis and data science alongside engineering. Comfortable working through problems where requirements are not fully defined. Desirable to have experience or a willingness to learn in the following areas Terraform. Dash, FastAPI or similar frameworks for dashboards, reporting and data applications. LLMs, including agents, tool use, retrieval or MCP. AI-friendly data architectures, including machine-readable data contracts, catalogues and metadata. Applying machine learning or statistical methods to business problems. Spark or PySpark. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. As a Senior Quantitative Developer, you will work in a close-knit global team of Multi-Asset Quant Developers and Researchers, collaborating to enhance our research platform in a fast-evolving environment. You will directly contribute to the team’s success by recommending innovative software solutions and building new tools and systems. Your future role within QRT Provide technical leadership and help raise engineering standards across the team Improve software engineering practices across research workflows, including the effective adoption of agentic coding tools and workflows Automate and streamline large-scale data preparation and cleansing workflows Build, enhance, and support quantitative research tools Help Quant Researchers bring trading strategies into production Continuously evolve the team’s software platform to meet changing business needs Your present skillset 5–10 years of quant development experience High standards for code quality, testing, and maintainable software design Strong Python development skills and proficiency with agentic software development Ability to multitask, prioritize projects, and collaborate effectively Strong communication skills and ability to thrive in a fast-paced environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Programmes offered: Final-year internship, penultimate-year internship Location: London, Paris , Wrocław, Zurich, Dubai, Aarhus, Amsterdam Programme duration: 3–6 months or 12-month industrial placement , starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT As a Technology Intern, you’ll help build the systems, platforms and tools behind QRT’s research, trading and investment activities. You’ll work alongside experienced engineers, quantitative developers, researchers and traders, contributing to production technology and solving problems where performance, reliability and good engineering judgement matter. Depending on your interests and strengths, you may join one of two Technology disciplines. Software Engineer (London , Wrocław, Zurich ) Software Engineers build the technology that underpins QRT’s trading and investment activities. This includes the platforms and infrastructure that connect us to global markets, brokers and data providers, as well as the systems used for order generation, execution, analytics, risk management and P&L reporting. The engineering problems vary considerably in scale and shape. At one end, we build ultra-low-latency execution technology where small improvements can matter. At the other, we develop global, cross-asset platforms that need to process large volumes of data reliably and make complex information accessible to users across the firm. As an intern, you’ll work with experienced engineers, quantitative developers and researchers on a defined technical problem. You’ll be expected to understand the problem properly, make sensible engineering choices and build something useful. Examples of projects you may work on include: AI-Powered Static Analysis – Build a tool combining static analysis and large language models to identify double-deletion and memory-management issues in our public API. Exchange Simulator Advanced Order Support – Extend our Exchange Simulator to support market orders, time-in-force instructions and algorithmic orders, making strategy testing more representative of live trading. Risk Data Platform – Extend our risk data platform to provide the data required to support trading in a new trade type. Lightweight Trading UI – Create a lightweight trading interface with order entry, live market and position views, and clear visualisation of trading activity. Quantitative Developer (London, Paris, Wrocław, Dubai, Aarhus, Amsterdam) Quantitative Developers work at the intersection of research, trading and engineering. Sitting close to the trading desk, they work directly with researchers and traders to build the technology needed to explore ideas, analyse markets and run strategies in production. The role combines strong software engineering with an understanding of how technology can make quantitative research and trading more effective. That might mean building high-performance execution systems, improving research infrastructure, developing machine learning platforms or creating tools that make complex data easier to work with. You’ll work on live technical problems where performance, reliability and iteration speed all matter. It’s a collaborative role with direct exposure to quantitative research, financial markets and production trading systems. Examples of projects you may work on include: Real-Time Trading Systems – Build high-performance C++ systems for real-time trading, contributing to low-latency infrastructure and execution technology where every microsecond can matter. Quantitative Research Platforms – Help develop the platforms used for quantitative research across QRT, including machine learning systems and data pipelines that allow researchers to test and scale ideas efficiently. Research and Trading Tools – Design tools that simplify workflows, improve access to data and make complex information easier to understand through effective visualisation. You’ll work directly with traders, researchers and risk teams to understand their problems and build practical solutions. Your current skillset Eligibility: Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Physics, Mathematics or a related Engineering subject, on track for a 2:1 or above from a leading institution. Interest in technology: You enjoy solving technical problems and are curious about how systems work. You’re interested in building things, not just studying them. Software engineering experience: We value hands-on experience wherever you gained it — through personal projects, open-source contributions, hobbies, internships or academic work. Programming: Proficiency in C++, C# or Python. Tools: Familiarity with scripting languages such as Python or Bash, and tools and technologies including Git, SQL, GCC and Linux. Mindset: Curious, proactive and comfortable asking questions. You look for ways to make systems simpler, faster or more reliable and can turn those observations into practical improvements. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Software Engineer with a deep understanding of systems design and reliability principles. You will join a small, experienced team in the greenfield implementation of a bare-metal trading platform. Your future role within QRT: While participating in the team on-call rota, you will have broad and deep responsibility for the system design, deployment, configuration and daily operation of: The physical infrastructure, consisting of servers, switches, storage and other specialized hardware platforms the trading application environment, built from the artifacts continuously deployed by developers and researchers The observability stack for the entire platform The intent-driven system through which all elements are managed as a single coherent system You will be responsible for interfacing with traders, researchers, application developers and other internal teams, as well as external service providers You will be comfortable solving complex issues in a critical production environment, applying pragmatic fixes in the moment, which then become engineered solutions Your Present Skillset: Bachelors/Masters/PhD in Computer Science, Computer Engineering or Electrical Engineering Strong problem-solving skills and deep understanding of computer-science fundamentals Hands-on experience at with Linux systems Proven track record designing and delivering scalable systems in production environments Nice to have: Experience with infrastructure-as-code tools Experience with monitoring and observability tools Deep understanding of servers, switches and operating systems Expertise in the synchronization and propagation of ultra-precise timing signals Knowledge of low-latency systems, trading environments, market data, or exchange protocols QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Software Engineer with a deep understanding of systems design and reliability principles. You will join a small, experienced team in the greenfield implementation of a bare-metal trading platform. Your future role within QRT: While participating in the team on-call rota, you will have broad and deep responsibility for the system design, deployment, configuration and daily operation of: The physical infrastructure, consisting of servers, switches, storage and other specialized hardware platforms the trading application environment, built from the artifacts continuously deployed by developers and researchers The observability stack for the entire platformThe intent-driven system through which all elements are managed as a single coherent system You will be responsible for interfacing with traders, researchers, application developers and other internal teams, as well as external service providers You will be comfortable solving complex issues in a critical production environment, applying pragmatic fixes in the moment, which then become engineered solutions Your Present Skillset: Bachelors/Masters/PhD in Computer Science, Computer Engineering or Electrical Engineering Strong problem-solving skills and deep understanding of computer-science fundamentals Hands-on experience at with Linux systems Proven track record designing and delivering scalable systems in production environments Nice to have: Experience with infrastructure-as-code tools Experience with monitoring and observability tools Deep understanding of servers, switches and operating systems Expertise in the synchronization and propagation of ultra-precise timing signals Knowledge of low-latency systems, trading environments, market data, or exchange protocols QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Software Engineer with a deep understanding of systems design and reliability principles. You will join a small, experienced team in the greenfield implementation of a bare-metal trading platform. Your future role within QRT: While participating in the team on-call rota, you will have broad and deep responsibility for the system design, deployment, configuration and daily operation of: The physical infrastructure, consisting of servers, switches, storage and other specialized hardware platforms the trading application environment, built from the artifacts continuously deployed by developers and researchers The observability stack for the entire platform The intent-driven system through which all elements are managed as a single coherent system You will be responsible for interfacing with traders, researchers, application developers and other internal teams, as well as external service providers You will be comfortable solving complex issues in a critical production environment, applying pragmatic fixes in the moment, which then become engineered solutions Your Present Skillset: Bachelors/Masters/PhD in Computer Science, Computer Engineering or Electrical Engineering Strong problem-solving skills and deep understanding of computer-science fundamentals Hands-on experience at with Linux systems Proven track record designing and delivering scalable systems in production environments Nice to have: Experience with infrastructure-as-code tools Experience with monitoring and observability tools Deep understanding of servers, switches and operating systems Expertise in the synchronization and propagation of ultra-precise timing signals Knowledge of low-latency systems, trading environments, market data, or exchange protocols QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT A key member of the development team, building and enhancing key components for QRT Building and supporting new quantitative trading framework software Designing clean architecture and leveraging state of the art tools and components Alerting: Define alert thresholds, reduce alert noise, and ensure actionable and meaningful alerts Incident Response: Develop and optimize on-call processes and incident response playbooks. Participate in the on-call rotation Service Reliability: Analyze system performance metrics and conduct root cause analysis for outages and degradations Automation: Automate response to common issues and improve self-healing capabilities Collaboration: Partner with development teams to instrument applications and ensure SLIs/SLOs/SLAs are well-defined and tracked Your present skillset 2-10 years’ professional experience Advanced skills in one or several programming languages Strong Python skills for automation and scripting, very high standards in code quality and good development practices Knowledge of real-time systems, high performance computing and quantitative applications an advantage Familiarity with container orchestration (e.g., Kubernetes) and cloud platforms (AWS specifically is a plus) Experience working in a high-availability, low-latency environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.