Data Scientist – Credit Risk Modelling

Overview

You will advance credit risk and CLTV modelling for iwoca’s lending programs, balancing automated and human-in-the-loop decisions. You’ll keep production models healthy, drive iterative development, and pursue bold R&D ideas that redefine modelling approaches. The role blends research with practical deployment, scaling models across UK and German portfolios. You join a collaborative team that values data-driven decisions and rapid experimentation to grow credit access for SMEs.

Pay / Benefits

• Flexible working hours
• Vitality medical insurance with gym discount
• Private GP for you and dependents
• 25 days holiday + birthday day + buy/sell 5 days
• One-month sabbatical after 4 years
• Employee equity incentive scheme

Responsibilities

• Lead credit risk and CLtV modelling projects end-to-end
• Maintain and improve production models and monitoring
• Advance research to reshape modelling approaches and enable prototyping
• Unify auto and manual models under a common framework
• Develop IFRS accounting models to sharpen upfront loss estimates
• Explore generalised modelling approaches that could replace separate models

Key requirements

• Background in probability and statistics or a quantitative field
• Ability to reason about uncertainty and calibration
• Strong analytical ownership and end-to-end problem framing
• Good judgement and ability to justify model outputs under scrutiny
• Experience with AI tools to prototype and automate research and development
• Excellent communication skills with ability to tailor technical detail to audience

• Clear communication
• Strong judgement under challenge
• Proactive, fast-moving and result-oriented
• AI fluency and prototyping
• Python (stack used by the team)
• Production ML: end-to-end model development, deployment, monitoring

…