A leading unsecured fintech is looking to hire a data scientist into their credit / investment function based in London.

The role will cover the following aspects:

• Refine Underwriting Scorecards: Collaborate with otherteams to design, test, and deploy new scorecards and scorecard driven strategies in our automated credit systems.
  
• Leverage Alternative Data: Analyse structured and unstructured data from ecommerce platforms, open banking, and other non-traditional sources to improve underwriting precision and customer segmentation.
  
• Drive Pricing Optimisation: Support the development of dynamic, risk-based pricing models to ensure alignment between credit risk, customer lifetime value, and revenue objectives.
  
• Design and Run Experiments: Structure A/B tests and pilots to evaluate the impact of changes in credit policy, eligibility criteria, and pricing strategies.
  
• Collaborate Across Functions: Partner with teams in Product, Engineering, Sales, and Operations to ensure credit strategy aligns with customer experience, operational capabilities, and commercial goals.

Required skills

• Experience within credit / lending idea SME or unsecured consumer
• 5-10years in data analytics / data science
• Understanding of the fintech landscape and challenges

NB - No sponsorship on offer and the role is 3 days in the office in London.

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