Job Description

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
Designing and building data pipelines to automate data movement and processing.
Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

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.

Embark on a transformative journey as a Banking Product Analytics AVP at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences.

Credit, Fraud & Decision Management (CFDM) is a core analytics and decisioning organization supporting Barclays’ US Consumer Banking businesses. Within CFDM, the Banking Products Analytics team delivers insights across loans, deposits, and emerging products, while advancing analytics modernization through cloud adoption, automation, and AI-enabled analytics.

To be successful in this role as a “Banking Product Analytics AVP , you should possess the following skillsets:

· Experience in data science, advanced analytics, or quantitative analytics, with demonstrated application in complex, regulated business environments.

· Hands-on experience in banking product analytics, including product performance, customer behaviour, pricing, campaign analytics, portfolio management, or related analytical disciplines.

· Strong foundation in statistical analysis, machine learning, and advanced analytical techniques, with the ability to apply them to practical business problems.

· Experience using analytics programming and data platforms commonly used in banking environments (e.g., Python, SQL, SAS or equivalent), including working with large datasets and production-oriented analytical processes.

· Exposure to modern analytics and AI capabilities, including GenAI, LLM-enabled analytics, automation, or enterprise knowledge solutions, with the ability to evaluate relevant use cases for business application.

· Experience managing analytical workstreams independently, producing high-quality outputs, and supporting or mentoring junior analysts where needed.

· Ability to translate business questions into analytical approaches and partner effectively with Product, Technology, Risk, Controls, and Business stakeholders to deliver insights and recommendations.

Some other highly valued skills include:

· Experience across both deposit and lending analytics, including campaign targeting, offer optimization, customer behaviour analysis, and portfolio monitoring.

· Understanding of data governance, data quality, and controls needed to develop scalable, auditable, and production-ready analytical solutions.

· Experience supporting analytics modernization initiatives, including cloud migration, automation, reusable analytical assets, or process simplification.

· Strong communication skills with the ability to present analytical findings clearly to cross-functional partners and senior stakeholders.

· Awareness of responsible AI principles, model risk considerations, and regulatory expectations relevant to advanced analytics in financial services.

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 our Gurugram office.