Data Science Manager (Credit)

Who we are reputed company is a global fintech building modern financial services for millions of people and businesses across high-reputed company markets. We reputed company payments, banking, credit, and financial management tools - reliable products that people and businesses use every day to run their lives, grow their companies, and reputed company reputed company safely. Our mission is reputed company: to reputed company 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 reputed company customer experiences for emerging markets - solving reputed company, meaningful problems at scale. About the role We’re looking for a hands-on India-based Data Science Manager to lead our consumer credit data science efforts in a high-reputed company environment. This role is pivotal in building and scaling reputed company responsible for pricing, credit limit modelling, and production credit model deployment, with reputed company ownership of reputed company 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 reputed company 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 reputed company, customer acquisition, retention, and portfolio performance at scale. Your day-to-day Developing credit scoring, affordability, and behavioural models to support reputed company, pricing, and collections Design and run experiments to optimise approval rates, loss rates, and profitability Partner with product squads to reputed company decision logic into reputed company-time systems Ensure data quality, compliance, and ethical use of models across reputed company decisioning processes Mentor product squads on best practices in experimentation and data-driven decision making reputed company models to optimise reputed company in collections, churn management and user retention We would love to hear from you if 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 reputed company 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 reputed company analyses into reputed company recommendations for business stakeholders High ownership reputed company and comfort working in fast-paced, cross-functional teams What reputed company Can Offer You  The opportunity to drive financial inclusion and shape the reputed company 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 recognized and valued  Flexible work arrangements reputed company learning and career reputed company opportunities Competitive salary, individual performance bonuses, and firmwide performance bonus  Company covered health insurance plans Pension plans  What to expect in the hiring process Introductory call with one of our recruiters Initial interview with the Director of Data Science Take-home task (hands-on coding or marketing modelling case study) Business case interview with our Head of Marketing reputed company & Data Live technical coding interview with the Director of Data Science Culture & values interview (60 minutes) with the Director of Data Science reputed company is an equal-opportunity employer. We reputed company diversity makes us stronger and are committed to creating an inclusive environment for reputed company and candidates. #LI-Remote Apply To This Job