Developing credit scoring, affordability, and behavioural models to support underwriting, pricing, and collections
Design and run experiments to optimise approval rates, loss rates, and profitability
Partner with product squads to embed decision logic into real-time systems
Ensure data quality, compliance, and ethical use of models across all decisioning processes
Mentor product squads on best practices in experimentation and data-driven decision making
Provide models to optimise outcomes in collections, churn management and user retention

You’re comfortable with Statistics
and have a Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar)
You have +5 years of experience in data science, decision science, or risk analytics within financial services, including +2 years in managerment
Working knowledge of credit risk, consumer lending, and regulatory considerations
Proficiency in SQL and at least one modelling/programming language (Python, R)
Experience with A/B testing, machine learning, collections modelling and churn management
Ability to translate complex analyses into clear recommendations for business stakeholders
High ownership mindset and comfort working in fast-paced, cross-functional teams

The opportunity to drive financial inclusion and shape the future of the African financial ecosystem
The chance to work on innovative and impactful projects
A dynamic, diverse, and collaborative environment where every team member’s voice is recognised and valued
Flexible work arrangements
Continuous learning and career growth opportunities
Competitive salary, individual performance bonuses, and firmwide performance bonus
The company covered health insurance plans
Pension plans

Data Science Manager – Credit

Key skills