Credit Acquisition Strategies – Vice President

Barclays

Wilmington, DE, USA
Data analytics and machine learning
Statistical and machine learning models
Predictive modeling
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

Job Summary

  • 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.
  • Develop and execute credit acquisition strategies while interfacing with cross‑functional partners including Legal, Compliance, Finance, Second Line teams, and segment partners.
  • Lead complex analytical work, transforming large datasets into actionable insights that drive credit card growth and risk optimization.

Matching Summary

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.

Skills & Requirements

Must-have

  • Data analytics and machine learning
  • Statistical and machine learning models
  • Predictive modeling
  • SAS, SQL, and Python proficiency
  • Credit card business strategy

Nice-to-have

  • Collaborate with multiple stakeholder groups
  • Strong presentation and communication skills
  • High attention to detail
  • Adaptability and comfort in fast-paced environment
  • Exposure to partnership cards

Key Requirements

  • Prior experience in credit card strategy
  • Strong technical and statistical capabilities
  • Ability to process and interpret large, complex datasets

Work Rights

Not specified

Tailored Resume

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