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About the Role
This high-impact role is responsible for key financial outcomes of Boxed lending products, with strong influence in defining decision strategy to optimize financial objectives and returns. Joining a collaborative team, you will broaden your network and relationships by working closely with key business areas.
Responsibilities
- Drive the evolution and optimization of decisioning strategy, including credit and fraud, for consumer lending products (Unsecured Loans and Point-of-Sale finance).
- Partner with central credit and fraud strategy teams to define and deliver optimization roadmaps for Boxed products to optimize P&L outcomes.
- Champion Boxed’s business priorities to influence the Group’s broader decisioning agenda.
- Serve as the subject matter expert in commercial team discussions, evaluating optimization opportunities and potential new deals.
- Provide data-driven input on business KPI forecasting, clearly articulating credit and fraud implications of commercial initiatives.
- Conduct hands-on quantitative analyses to generate actionable insights and recommendations.
- Develop Boxed’s internal credit and fraud MI in collaboration with team members and partner functions.
- Work cross-functionally with Credit, Fraud, Product, Data, Operations, Risk, Finance, acting as the Credit & Fraud voice in discussions.
- Collaborate with engineering and product teams to integrate and operationalize strategy changes within lending platforms.
Requirements
- Extensive experience in a Credit Strategy and Analytics role (or similar) in the consumer lending space.
- Deep understanding of the end-to-end digital consumer lending decisioning lifecycle.
- Ability to distill complex quantitative analyses into clear, structured, and compelling narratives for diverse stakeholders.
- Ability to operate effectively in a fast-moving and evolving environment.
- Deep intellectual curiosity and keen interest to get into the details of complex Fintech/Banking-As-A-Service (BaaS) commercial models and products.
Skills
- SQL
- Python
- Excel
Location
- Remote
Work Type
- Remote First
- Full-time
About the Company
- NatWest Boxed