Banking Product Analytics VP

LocationGurugram, DLF Downtown

Work modeon-site

Typefull-time

SeniorityVP

Company size10,000+ people

First seenOct 10, 2026 · 1d ago

Verified live1d ago

At a glanceSummarised by Seekless from the posting.

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

Hands‑on experience across both deposit and lending analytics, including product performance, customer behaviour, pricing and offer optimization, campaign analytics, and portfolio management.

Strong expertise in machine learning and advanced analytical techniques

Proven experience with GenAI and advanced AI technologies, including LLM‑enabled analytics, retrieval‑augmented generation (RAG), agent‑based or workflow‑driven analytics, and enterprise knowledge systems.

Demonstrated ability to lead and develop analytics teams, including direct or matrix management of two or more analysts, setting analytical standards, and reviewing complex analytical deliverables.

Experience in leading financial services organizations, with exposure across a range of banking and consumer finance businesses, complemented by experience operating in or partnering with technology‑driven, platform‑led IT companies; consulting or advisory experience across multiple organizations preferred

Strong proficiency in analytics programming and data platforms commonly used in banking environments (e.g., Python, SQL, SAS or equivalent)

Experience operationalizing analytics in production settings.

Ability to partner effectively with Product, Technology, Risk, Controls, and Business stakeholders to translate business problems into scalable analytical solutions.

Experience designing and operating enterprise analytics and AI operating models, including centralized and federated delivery structures and reusable platforms.

Strong capability in driving change and adoption of analytics, cloud, and AI solutions across business teams, including training, enablement, and stakeholder engagement.

Deep understanding of data governance, data quality, and analytics industrialization, ensuring solutions are scalable, auditable, and production‑ready.

Experience evaluating build‑vs‑buy decisions, managing vendor partnerships, and assessing cost, scalability, and risk trade‑offs for analytics and AI platforms.

Proven ability to communicate complex analytical and AI concepts to senior executives, translating technical outputs into clear business and risk insights.

Strong awareness of responsible AI principles, model risk considerations, and regulatory expectations for advanced analytics and AI in financial services.

Skills

Python

SQL

SAS

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

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Identification, collection, extraction of data from various sources, including internal and external sources.

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Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis.

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Development and maintenance of efficient data pipelines for automated data acquisition and processing.

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Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data.

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Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.

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Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Vice President Expectations

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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…

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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…

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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…

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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…

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Advise key stakeholders, including functional leadership teams and senior management on functional and cross functional areas of impact and alignment.

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Manage and mitigate risks through assessment, in support of the control and governance agenda.

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Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.

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Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.

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Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.

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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.

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Adopt and include the outcomes of extensive research in problem solving processes.

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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.

Embark on a transformative journey as a Banking Product Analytics VP 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 unapparelled 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 leading analytics modernization through cloud adoption, automation, and advanced AI‑enabled analytics.

Requirements

To be successful in this role as a Banking Product Analytics VP, 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 across both deposit and lending analytics, including product performance, customer behaviour, pricing and offer optimization, campaign analytics, and portfolio management.

· Strong expertise in machine learning and advanced analytical techniques

· Proven experience with GenAI and advanced AI technologies, including LLM‑enabled analytics, retrieval‑augmented generation (RAG), agent‑based or workflow‑driven analytics, and enterprise knowledge systems.

· Demonstrated ability to lead and develop analytics teams, including direct or matrix management of two or more analysts, setting analytical standards, and reviewing complex analytical deliverables.

· Experience in leading financial services organizations, with exposure across a range of banking and consumer finance businesses, complemented by experience operating in or partnering with technology‑driven, platform‑led IT companies; consulting or advisory experience across multiple organizations preferred

· Strong proficiency in analytics programming and data platforms commonly used in banking environments (e.g., Python, SQL, SAS or equivalent), and experience operationalizing analytics in production settings.

· Ability to partner effectively with Product, Technology, Risk, Controls, and Business stakeholders to translate business problems into scalable analytical solutions.

Nice to have

Some other highly valued skills include:

· Experience designing and operating enterprise analytics and AI operating models, including centralized and federated delivery structures and reusable platforms.

· Strong capability in driving change and adoption of analytics, cloud, and AI solutions across business teams, including training, enablement, and stakeholder engagement.

· Deep understanding of data governance, data quality, and analytics industrialization, ensuring solutions are scalable, auditable, and production‑ready.

· Experience evaluating build‑vs‑buy decisions, managing vendor partnerships, and assessing cost, scalability, and risk trade‑offs for analytics and AI platforms.

· Proven ability to communicate complex analytical and AI concepts to senior executives, translating technical outputs into clear business and risk insights.

· Strong awareness of responsible AI principles, model risk considerations, and regulatory expectations for advanced analytics and AI in financial services.

Hiring process

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.

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