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Moniepoint is looking for a Data Science Manager based in India to lead consumer credit data science efforts. You'll develop models, work closely with Product and Engineering teams, and drive decision logic in real-time systems.
The ideal candidate should have a degree in a quantitative field, 5+ years of experience in data science, and management experience. The role offers opportunities for impactful projects and career growth.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high‑growth markets. We provide payments, banking, credit, and financial management tools - reliable products that people and businesses use every day to run their lives, grow their companies, and move money safely.
Our mission is simple: to enable financial happiness for every African, everywhere. And this is day one. We’ve grown rapidly in Nigeria and the UK, and we’re now expanding our product, engineering, and analytics teams. Our work ranges from building financial infrastructure to designing intuitive customer experiences for emerging markets - solving real, meaningful problems at scale.
We’re looking for a hands‑on India‑based Data Science Manager to lead our consumer credit data science efforts in a high‑growth environment. This role is pivotal in building and scaling a team responsible for pricing, credit limit modelling, and production credit model deployment, with direct ownership of decisions that impact millions of customers.
You’ll work closely with our Consumer Credit, Product, and Engineering teams to shape how we assess and price risk, design credit products, and measure outcomes across the credit lifecycle. Sitting at the intersection of data science, credit risk, and product, you’ll build the analytics and modelling foundations that inform underwriting, customer acquisition, retention, and portfolio performance at scale.
Moniepoint is an equal‑opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.