Senior Data Scientist, Credit Risk

About the role

Senior Data Scientist position on Moove’s Credit Risk team in Lagos. Moove provides revenue-based vehicle financing to mobility entrepreneurs (Uber, Bolt, inDrive drivers) across Africa, Europe, the Middle East, and India. The Credit Risk team owns origination scorecards, in-life risk monitoring, and recovery models across all markets. Application deadline 31 July 2026.

Responsibilities

• Build and maintain credit risk models for new applicants, including scorecards combining traditional bureau data and alternative signals (mobility platform data, mobile money history, geospatial features).
• Monitor portfolio risk across markets and trigger interventions when cohorts deteriorate.
• Develop early-warning systems based on driver behaviour, payment patterns, and macroeconomic indicators.
• Partner with the engineering team on model deployment via Python services or batch pipelines.
• Present model performance and risk insights to the Chief Risk Officer and country general managers monthly.
• Mentor junior data scientists across all Moove markets.

Requirements

• Master’s degree in statistics, applied mathematics, economics, computer science, or a closely related quantitative field.
• Four to six years of professional data-science experience, with at least two years in credit risk, lending, or financial risk modelling.
• Strong Python skills with scikit-learn, pandas, and at least one gradient-boosting library (XGBoost, LightGBM, CatBoost).
• Production experience deploying models via Python APIs or batch pipelines.
• Solid grasp of model validation: AUC, KS, PSI, expected calibration error.
• Fluent English.

Nice to have

• PhD in a relevant quantitative field.
• Prior fintech, lending, or credit-bureau experience.
• Familiarity with African credit ecosystems and bureau data (CRC, FirstCentral, TransUnion Africa).
• Experience with mobility platform data or alternative-data underwriting.

How to apply

Open Moove’s careers page at the apply link, search for “Senior Data Scientist Credit Risk”, and submit through the company’s recruitment system. Submit CV, GitHub profile (if applicable), and a short case study (one page) on a credit-risk model you have built and deployed. Closing date 31 July 2026.