This position focuses on improving credit and product policies through data-driven analysis. Responsibilities include monitoring portfolios, creating valuation models, and collaborating across teams to enhance profitability and customer experiences.
Branch Overview
Branch is a leading AI-based lending fintech with 50M+ downloads across India and Africa. We use alternative data to reach millions of people that are largely excluded from the financial sector.
Headquartered in Silicon Valley with operations in India, Nigeria and Kenya, Branch is a for-profit, socially conscious company built for scale and impact. Our mission-driven team—founded and led by the former CEO of Kiva.org—now spans 400+ employees globally. We’re backed by investors such as Andreessen Horowitz, Visa, and the IFC.
Job Description
You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies.
Responsibilities
Qualifications
Branch is a leading AI-based lending fintech with 50M+ downloads across India and Africa. We use alternative data to reach millions of people that are largely excluded from the financial sector.
Headquartered in Silicon Valley with operations in India, Nigeria and Kenya, Branch is a for-profit, socially conscious company built for scale and impact. Our mission-driven team—founded and led by the former CEO of Kiva.org—now spans 400+ employees globally. We’re backed by investors such as Andreessen Horowitz, Visa, and the IFC.
Job Description
You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies.
Responsibilities
- Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitability
- Monitor and update credit policy to optimize for company risk, profitability, and growth targets
- Propose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production
- Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis
- Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts
- Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability
- Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis
- Support the marketing and product team with their data needs
Qualifications
- Fluency in SQL and R/Python
- Previous experience in analytics and/or quantitative modeling, using large datasets
- Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors
- Strong strategic thinking and problem-solving skills
- 7-12 years relevant experience in Credit Analytics
- 3+ years experience in Indian lending space - Digital personal loans
- Good understanding of Credit Bureau data and alternate data for underwriting and collections.
- Enthusiasm for working across cultures, functions and time zones
Why Join Us
- Competitive salary and equity package
- Fast-paced, collaborative, and high-autonomy work culture
- Hybrid work setup designed for flexibility and work-life balance
- Fully paid group medical insurance and personal accident insurance
- Generous paid time off, plus company-declared public holidays
- Fully paid parental leave for fathers and non-birthing parents (12 weeks), in addition to 26 weeks of statutory maternity leave
- Monthly WFH stipend, along with a one-time home office setup budget
- $500 annual professional development budget
- Quarterly social meet-ups and sponsored monthly team lunches
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