Skip to main content

Date live: Apr. 21, 2026

Business Area: Markets Pre Trade

Area of Expertise: Data & Analytics

Reference Code: JR-0000031603

Contract: Permanent

Join us as Senior Data Modeller, where you will lead the delivery of advanced analytics, Business Intelligence (BI), Machine Learning (ML), and Generative AI solutions across the APAC region. You will design and deploy scalable, governed, and regulator-ready analytics solutions aligned to Barclays’ platform-led, product-oriented data strategy, while working closely with enterprise data, architecture, and governance teams.

To be successful in this role, you should:

  • Lead the identification, design, and delivery of high-value analytics, BI, ML, and Generative AI use cases across investment banking, risk, regulatory, and operations domains
  • Design and deploy end-to-end analytics and ML pipelines, including feature engineering, model development, validation, deployment, and monitoring
  • Own the full ML lifecycle, ensuring explainability, validation, governance, and controlled change in line with enterprise standards
  • Deliver executive-grade BI dashboards and AI-driven insights for senior stakeholders
  • Design and implement Retrieval Augmented Generation (RAG) solutions within secure enterprise environments
  • Build reusable, governed analytics products aligned with enterprise data product standards
  • Collaborate with Data Architects and Engineers to design and validate conceptual, logical, and dimensional data models
  • Ensure compliance with Responsible AI, data governance, security, and regulatory frameworks
  • Provide technical leadership, mentorship, and stakeholder management across teams

Essential Skills / Basic Qualifications:

  • Strong experience delivering advanced analytics, BI, ML, and AI solutions within financial services or investment banking
  • Proven end-to-end ownership of analytics and data science solutions from problem definition to business adoption
  • Hands-on expertise with modern analytics platforms (e.g., Databricks, Spark, Python, SQL)
  • Strong SQL skills and understanding of data modelling (conceptual, logical, dimensional)
  • Experience working in regulated environments with governance, controls, and explainability requirements
  • Experience collaborating with Data Architects, Data Modelers, and enterprise platform teams
  • Strong communication and stakeholder management skills

Desirable Skills / Preferred Qualifications:

  • Exposure to analytics engineering or DBT-based model-driven analytics
  • Experience with real-time or streaming data pipelines (e.g., Kafka)
  • Experience in regulatory, risk, or compliance-driven analytics initiatives
  • Familiarity with enterprise data product models and metadata-driven analytics ecosystems

You may be assessed on the key critical skills relevant for success in role, such as:

  • Advanced Analytics & Data Science Leadership
  • Machine Learning Lifecycle Management
  • Data Modelling & Data Architecture Understanding
  • SQL & Data Platforms Expertise
  • Regulatory & Responsible AI Compliance
  • Stakeholder Management & Communication
  • Problem Solving and Strategic Thinking

Job location is Mumbai.

Purpose of the role

To design, develop, and implement solutions to complex business problems, collaborating with stakeholders to understand their needs and requirements, and design and implement solutions that meet those needs and create solutions that balance technology risks against business delivery, driving consistency. 

Accountabilities

  • Design and development of solutions as products that can evolve, meeting business requirements that align with modern software engineering practices and automated delivery tooling. This includes identification and implementation of the technologies and platforms.
  • Targeted design activities that apply an appropriate workload placement strategy and maximise the benefit of cloud capabilities such as elasticity, serverless, containerisation etc.
  • Best practice designs incorporating security principles (such as defence in depth and reduction of blast radius) that meet the Bank’s resiliency expectations.
  • Solutions that appropriately balance risks and controls to deliver the agreed business and technology value.
  • Adoption of standardised solutions where they fit. If no standard solutions fit, feed into their ongoing evolution where appropriate.
  • Fault finding and performance issues support to operational support teams, leveraging available tooling.
  • Solution design impact assessment in terms of risk, capacity and cost impact, inc. estimation of project change and ongoing run costs.
  • Development of the requisite architecture inputs required to comply with the banks governance processes, including design artefacts required for architecture, privacy, security and records management governance processes.

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.

More about working at Barclays