Responsibilities
- Develop and deploy 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
Requirements
- Degree or qualifications in a quantitative field (Statistics, Mathematics, Engineering or similar)
- 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
Benefits
- Culture: We put our people first and prioritize the well-being of every team member. We’ve built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human.
- Learning: We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks.
- Compensation: You’ll receive an attractive salary, pension, health insurance, monthly bonuses, plus other benefits
Work Arrangement
Remote (Country)
Team
Team size: ~100 teammates. Structure: based across Bengaluru, Mumbai, Pune, Chennai, Hyderabad, and Gurgaon
Additional Information
- You’ll work in a fast-paced, high-impact environment alongside experienced operators from companies such as Gojek, Tide, Amazon, Walmart, Paytm, BharatPe, Zeta, Delivery Hero, Grab, and Groupon.
- If you want to build at scale, work with one of Africa’s highest-volume fintech data sets, and ship products that materially impact tens of millions of users, this is an exceptional time to join.
