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Job Description Purpose of the role To identify potential vulnerabilities within the banks IT systems using penetration testing tools and techniques to ensure security of computer systems, applications, servers, and networks. Accountabilities Development and execution of assessments, audits, and threat models to identify vulnerabilities within the banks systems, applications and servers using penetration tools and techniques, and communicate key findings and recommendations to stakeholders. Collaboration with stakeholders and IT teams to identify emerging cyber-attack techniques, tools and technologies and to support the development of penetration testing methodologies. Development and maintenance of comprehensive documents and reports for senior stakeholders on penetration test findings, and remediation guidance. Collaboration with stakeholders to understand their security requirements and controls in business processes, application/services, to enhance overall security posture and assurance. Identification of emerging vulnerabilities, exploit codes and cyber-attacks to develop testing methodologies and assurance activities. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as a Penetration Tester, to help protect our organisation and clients by identifying, validating, and clearly communicating security vulnerabilities before they can be exploited. This role sits within a collaborative security testing team and focuses on delivering high‑quality web, network, mobile, and client application assessments across a range of projects, while working closely with stakeholders to turn findings into meaningful action. Key Skills: Holding a CREST qualification (or equivalent), or working towards one. Delivering end‑to‑end penetration testing across web, network, and mobile environments. Engaging with stakeholders, contributing to Statements of Work (SoW), and producing clear, actionable security reports. Desirable Skills: Participation in the penetration testing or wider security community (for example bug hunting, Hack The Box, CTFs, or hackathons). Exposure to client or thick application testing and experience working to agreed project timelines. An interest in emerging areas such as AI security testing, and familiarity with scripting or programming (no specific languages required). This role will be based in Knutsford or Manchester. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.

Job Description Purpose of the role To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms as required with the aim of ensuring that the infrastructure is reliable, scalable, and secure. Ensure the reliability, availability, and scalability of the systems, platforms, and technology through the application of software engineering techniques, automation, and best practices in incident response. Accountabilities Build Engineering: Development, delivery, and maintenance of high-quality infrastructure solutions to fulfil business requirements ensuring measurable reliability, performance, availability, and ease of use. Including the identification of the appropriate technologies and solutions to meet business, optimisation, and resourcing requirements. Incident Management: Monitoring of IT infrastructure and system performance to measure, identify, address, and resolve any potential issues, vulnerabilities, or outages. Use of data to drive down mean time to resolution. Automation: Development and implementation of automated tasks and processes to improve efficiency and reduce manual intervention, utilising software scripting/coding disciplines. Security: Implementation of a secure configuration and measures to protect infrastructure against cyber-attacks, vulnerabilities, and other security threats, including protection of hardware, software, and data from unauthorised access. Teamwork: Cross-functional collaboration with product managers, architects, and other engineers to define IT Infrastructure requirements, devise solutions, and ensure seamless integration and alignment with business objectives via a data driven approach. Learning: Stay informed of industry technology trends and innovations, and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as an Infrastructure Engineer VP at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unparalleled customer experiences. As a part of the team, you will deliver technology stack, using strong analytical and problem solving skills to understand the business requirements and deliver quality solutions. You'll be working on complex technical problems that will involve detailed analytical skills and analysis. This will be done in conjunction with fellow engineers, business analysts and business stakeholders. To be successful as an Infrastructure Engineer VP you should have experience with: Demonstrated expertise in Block Storage technologies (SAN, Fibre Channel, iSCSI, multipathing, zoning) with the ability to troubleshoot performance, connectivity, and availability issues end-to-end. Strong hands-on experience with File Storage platforms (NAS protocols such as NFS/SMB, permissions, snapshots, replication, scalability) and proven ability to optimize performance and resilience. Proven capability in Enterprise Backup and Recovery engineering, including backup policy design, retention, restore validation, disaster recovery readiness, and operational governance for mission-critical workloads. Solid experience applying SRE principles such as error budgets, SLO/SLI definition, toil reduction, automation-first operations, and post-incident learning to drive measurable reliability improvements. Strong observability vision and execution, including defining metrics/logs/traces for storage and backup services, building dashboards, alerting strategies, and using telemetry to prevent incidents before they impact customers. Excellent collaboration and communication skills with a consistent track record of working across infrastructure, application, cybersecurity, and service management teams to deliver outcomes and influence operational best practices. Some other highly valued skills include: Experience automating storage and backup operations using Python/PowerShell, API integrations, or infrastructure-as-code approaches to reduce manual effort and improve consistency. Working knowledge of cloud storage and backup concepts (hybrid architectures, object storage, cloud backup integrations, or cloud-native resilience patterns) and how they intersect with enterprise storage. Familiarity with ITIL / service management practices including incident, problem, change management, and operational runbooks, with the ability to improve process maturity without creating bureaucracy. Experience with security and compliance controls for data protection, including encryption, immutability, ransomware recovery practices, and least-privilege access patterns for storage systems. Exposure to containerized and virtualized platforms (VMware / Kubernetes storage concepts) with the ability to align storage reliability to modern platform needs. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role will be based out of Pune.

Job Description Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as a Data Engineer - AWS Cloud Engineer at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. To be successful as a Data Engineer - AWS Cloud Engineer you should have experience with: Build and maintain AWS cloud infrastructure and platform services. Automate infrastructure provisioning and configuration management using Terraform, CloudFormation and Ansible. Develop and support CI/CD pipelines to enable efficient and reliable deployments. Monitor, troubleshoot and support production environments, including incident management, patching, backup and recovery. Implement security, governance and operational controls Manage cloud monitoring, observability and alerting solutions to ensure platform reliability and performance. Optimise cloud environments for scalability, availability and cost efficiency. Collaborate with engineering, architecture and security teams to deliver cloud solutions and continuous improvements. Create and maintain technical documentation, operational procedures and support runbooks. Some other highly valued skills may include: Strong understanding of AWS Cloud Computing and Cloud Networking concepts. Hands-on experience with core AWS services including: EC2, S3, VPC, RDS, IAM, Lambda, DynamoDB, CloudWatch, Auto Scaling, Load Balancers. Strong knowledge of AWS Well-Architected Framework. Infrastructure as Code experience using Terraform and/or CloudFormation. Experience with CI/CD tools such as Jenkins and GitHub, Gitlab. Strong Linux administration and Shell scripting experience. Experience with configuration management tools such as Ansible. Strong problem-solving, troubleshooting and analytical skills. Experience with observability tools. Experience with containerisation technologies such as Docker and Kubernetes/EKS. Experience with cost optimisation and FinOps principles. Experience with Apache Spark, Apache Airflow and other cloud-based data services is good to have. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Bengaluru.

Job Description Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as a Data Engineer - PySpark Developer at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You will be invoved in design, develop, and deliver scalable data solutions. The successful candidate will be responsible for building robust data pipelines, enabling data processing and supporting large-scale data transformation initiatives across the organisation. This role requires strong expertise in PySpark, AWS cloud technologies, data engineering practices and modern data platform architectures. The candidate will collaborate with business stakeholders, architects, product owners and engineering teams to deliver secure, reliable and performant data products. To be successful as a Data Engineer - PySpark Developer you should have experience with: Design, develop and maintain scalable data pipelines using PySpark. Build and optimise ETL/ELT solutions supporting large-scale enterprise data processing requirements. Develop reusable frameworks, components and standards to accelerate data onboarding and analytics delivery. Implement data quality controls, validation frameworks and reconciliation processes. Deliver high-quality code following engineering best practices, coding standards and automated testing approaches. Some other highly valued skills may include: Excellent programming skills in Python/Pyspark. Hands-on experience with Databricks and/or Snowflake. Strong experience with AWS Cloud services including S3, Glue, EMR, Lambda, EC2, DynamoDB, IAM, CloudWatch and CloudTrail. Hands-on experience developing and optimising AWS Glue ETL jobs using PySpark. Experience with large-scale distributed data processing. Solid understanding of Data Lake, Lakehouse and Modern Data Platform architectures. Expertise with Git-based source control platforms. Experience in Airflow. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Bengaluru.

Job Description Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as a Data Engineer - ETL at Barclays, responsible for supporting the successful delivery of location strategy projects to plan, budget, agreed quality and governance standards. You will be invoved in design, develop, and deliver scalable data solutions. The successful candidate will be responsible for building robust data pipelines, enabling data processing and supporting large-scale data transformation initiatives across the organisation. This role requires strong expertise in PySpark, AWS cloud technologies, data engineering practices and modern data platform architectures. The candidate will collaborate with business stakeholders, architects, product owners and engineering teams to deliver secure, reliable and performant data products. To be successful as a Data Engineer - ETL you should have experience with: Design, develop and maintain scalable data pipelines using PySpark. Build and optimise ETL/ELT solutions supporting large-scale enterprise data processing requirements. Develop reusable frameworks, components and standards to accelerate data onboarding and analytics delivery. Implement data quality controls, validation frameworks and reconciliation processes. Deliver high-quality code following engineering best practices, coding standards and automated testing approaches. Some other highly valued skills may include: Excellent programming skills in Python/Pyspark. Hands-on experience with Databricks and/or Snowflake. Strong experience with AWS Cloud services including S3, Glue, EMR, Lambda, EC2, DynamoDB, IAM, CloudWatch and CloudTrail. Hands-on experience developing and optimising AWS Glue ETL jobs using PySpark. Experience with large-scale distributed data processing. Solid understanding of Data Lake, Lakehouse and Modern Data Platform architectures. Expertise with Git-based source control platforms. Experience in Airflow. You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills. This role is based out of Bengaluru.

Job Description Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. The AVP — Data Analytics & AI is a hands-on technical leadership role within the Risk & Compliance division, responsible for designing, building, and deploying advanced analytics and AI solutions across risk domains. Working closely with the VP — Data Analytics & AI Lead, the role holder will translate business and regulatory requirements into production-grade machine learning models, data pipelines, and AI-powered applications. This role is ideal for a technically strong data scientist or ML engineer who is ready to step into a leadership capacity — combining deep hands-on delivery with mentoring junior team members and contributing to the team's strategic roadmap. Key Responsibilities Analytics & AI Delivery • Design, develop, and deploy machine learning models and data analytics solutions for credit risk, financial crime, operational risk, and compliance monitoring use cases. • Build and maintain end-to-end ML pipelines — from data ingestion and feature engineering through model training, validation, and deployment. • Develop NLP and generative AI applications including RAG-based document retrieval, automated regulatory analysis, and compliance report generation. • Deliver predictive analytics capabilities such as early warning models, anomaly detection, and risk scoring enhancements. • Create and maintain BI dashboards and analytical reports using Power BI, Tableau, or equivalent tools. Model Development & Governance Support • Develop well-documented, reproducible models that meet internal Model Risk Management (MRM) validation standards. • Prepare model documentation packages including methodology papers, validation reports, and ongoing monitoring plans. • Support the VP in regulatory exam preparedness and AI governance activities, including bias testing and explainability reporting. • Contribute to the maintenance of model inventories and performance monitoring frameworks. Data Engineering & Infrastructure • Collaborate with Data Engineering and Cloud Platform teams to build scalable data pipelines and ensure data quality for analytics consumption. • Work with cloud-native platforms (AWS/Azure) and big data technologies to process and transform large-scale risk datasets. • Contribute to feature store development and data quality monitoring aligned with BCBS 239 principles. Stakeholder Engagement • Partner with risk officers, compliance analysts, and business SMEs to understand requirements and translate them into analytical solutions. • Present model outputs, analytical findings, and technical recommendations to senior stakeholders in clear, non-technical language. • Collaborate with cross-functional teams including Technology, Chief Data Office, and Front Office. Team Contribution & Mentoring • Mentor and guide junior data scientists and analytics engineers, conducting code reviews and knowledge-sharing sessions. • Contribute to hiring, onboarding, and technical competency development within the analytics team. • Stay current with emerging AI/ML research, tools, and techniques — bringing best practices into the team. Technology & AI Solution Architecture The successful candidate will be expected to work hands-on across on prem & cloud Compliance AI Platform. This requires strong proficiency in data ingestion and processing (Kafka, Airflow, Spark), cloud-based data platforms (Databricks, Snowflake, AWS S3/Azure), and SQL-based data transformation (dbt, PySpark). The candidate must demonstrate experience building and deploying ML models (XGBoost, PyTorch, scikit-learn) for risk analytics use cases, along with practical exposure to generative AI — including LLM integration (LangChain), RAG architectures, and prompt engineering. Familiarity with MLOps practices is essential: CI/CD for ML, model serving (SageMaker or equivalent), experiment tracking (MLflow), and model monitoring. Experience with explainability tools (SHAP/LIME) and an understanding of AI governance frameworks (SS1/23, BCBS 239) are expected. Essential Qualifications & Experience Education • Master's degree in a quantitative discipline — Computer Science, Data Science, Statistics, Mathematics, Physics, Engineering, or a related field. PhD is a plus but not required. • Relevant certifications are advantageous (e.g., AWS ML Specialty, Azure Data Scientist, FRM). Experience • Experience in data analytics, data science, or AI/ML, financial services — preferably within Risk, Compliance, or regulatory functions. • Proven track record of delivering production-grade ML models that have driven measurable business impact. • Solid understanding of banking risk concepts including credit risk (PD/LGD, IFRS 9), market risk, operational risk, or financial crime (AML, fraud detection). • Experience with the model lifecycle — development, documentation, validation support, and ongoing monitoring. • Some exposure to regulatory frameworks such as BCBS 239, Basel III/IV, or PRA/FCA guidance on AI/ML. Technical Skills • Strong proficiency in Python for ML development and data analysis. • Solid SQL skills and experience with big data technologies (Spark, Databricks). • Hands-on experience with ML frameworks — scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow. • Practical experience with NLP and/or generative AI — LLMs, RAG, prompt engineering. • Working knowledge of cloud platforms (AWS SageMaker, Azure ML) and MLOps tooling (MLflow, Airflow). • Experience with BI tools — Power BI or Tableau. • Familiarity with version control (Git) and collaborative development practices. Desirable Skills & Experience • Experience with Responsible AI practices including explainability (SHAP, LIME) and bias detection. • Knowledge of graph analytics or network analysis for financial crime detection. • Exposure to real-time streaming technologies (Kafka, Flink). • Experience with dbt, data quality frameworks, or metadata management tools. • Prior involvement in model validation reviews or regulatory examinations. • Experience with Agile/Scrum delivery methodologies. • Familiarity with emerging AI regulations (EU AI Act, UK AI regulatory framework). • Published research or open-source contributions in ML or data science. Core Competencies & Behaviours Technical Excellence • Strong problem-solving skills with the ability to break down complex business problems into analytical approaches. • Intellectually curious with a passion for staying at the forefront of AI/ML research and tooling. • Rigorous approach to code quality, reproducibility, and documentation. Communication & Collaboration • Ability to explain technical concepts and model outputs to non-technical stakeholders clearly and concisely. • Strong team player who thrives in cross-functional environments spanning Risk, Compliance, and Technology. • Effective written communication skills for model documentation and technical reports. Ownership & Delivery • Self-starter who can manage multiple workstreams and deliver under deadlines. • Proactive in identifying risks, blockers, and opportunities for improvement. • Comfortable balancing hands-on technical delivery with mentoring and coordination responsibilities. Risk Awareness • Appreciation for the regulatory environment in banking and the importance of model governance. • Commitment to responsible use of AI and data, with attention to fairness, privacy, and ethical considerations. This role is based our of Pune.

Job Description Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Vice President Expectations To contribute or set strategy, drive requirements and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/ processes; deliver continuous improvements and escalate breaches of policies/procedures.. If managing a team, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements.. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.. OR for an individual contributor, they will be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions.. Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment. Manage and mitigate risks through assessment, in support of the control and governance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies. Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the outcomes of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join Barclays as a Software Engineer- Containers role, where to design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. At Barclays, we don't just anticipate the future - we're creating it. To be successful in this role, you should have below skills: Experience configuring, using or maintaining Kubernetes (Openshift or EKS or AKS) Experience in developing and coding software using Python or Golang Experience with Docker, Containers and Cloud-Native utilities and software Some other highly valued skills may include below: Experience in writing Ansible Playbooks or Chef Cookbooks Foundational understanding of Cloud technologies within AWS or Azure, Familiarity with complex system integrations, REST APIs, Observability, Telemetry and microservice-based architectures Elastic or any other tools hands on would be preferred Have worked in an SRE / DevOps role You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in Chennai and Pune office.

Job Description Purpose of the role To identify potential vulnerabilities within the banks IT systems using penetration testing tools and techniques to ensure security of computer systems, applications, servers, and networks. Accountabilities Development and execution of assessments, audits, and threat models to identify vulnerabilities within the banks systems, applications and servers using penetration tools and techniques, and communicate key findings and recommendations to stakeholders. Collaboration with stakeholders and IT teams to identify emerging cyber-attack techniques, tools and technologies and to support the development of penetration testing methodologies. Development and maintenance of comprehensive documents and reports for senior stakeholders on penetration test findings, and remediation guidance. Collaboration with stakeholders to understand their security requirements and controls in business processes, application/services, to enhance overall security posture and assurance. Identification of emerging vulnerabilities, exploit codes and cyber-attacks to develop testing methodologies and assurance activities. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave. Join us as a Penetration Tester, to help protect our organisation and clients by identifying, validating, and clearly communicating security vulnerabilities before they can be exploited. This role sits within a collaborative security testing team and focuses on delivering high‑quality web, network, mobile, and client application assessments across a range of projects, while working closely with stakeholders to turn findings into meaningful action. Key Skills: Holding a CREST qualification (or equivalent), or working towards one. Delivering end‑to‑end penetration testing across web, network, and mobile environments. Engaging with stakeholders, contributing to Statements of Work (SoW), and producing clear, actionable security reports. Desirable Skills: Participation in the penetration testing or wider security community (for example bug hunting, Hack The Box, CTFs, or hackathons). Exposure to client or thick application testing and experience working to agreed project timelines. An interest in emerging areas such as AI security testing, and familiarity with scripting or programming (no specific languages required). This role will be based in Knutsford or Manchester. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.