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Banking Product Analytics VP

barclays.co.uk Logo

Barclays

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Location:
India , Gurugram

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

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.

Job Responsibility:

  • Spearhead the evolution of our digital landscape, driving innovation and excellence
  • Harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences
  • 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

Requirements:

  • 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:

  • 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
What we offer:
  • Wellness rooms
  • Gyms
  • Mental health support
  • On-site cafeterias
  • Fitness centers
  • Tech-equipped workstations
  • Collaborative areas
  • Flexible working arrangements

Additional Information:

Job Posted:
May 16, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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