Salary
💰 $215,000 - $265,000 per year
Tech Stack
PySparkPythonSQL
About the role
- Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
- We’re looking for an individual to join the Merchant Pricing team! This team is responsible for enabling efficient value exchange between Affirm’s merchants, consumers, and strategic partners. As a Quantitative Analytics Manager, you’ll help optimize our portfolio segments at scale and refine the analytical tooling to get us there. Your day-to-day focus will be to develop analytical capabilities to enhance our research infrastructure, and to apply your knowledge to improve Affirm’s loan economics. This is a high-impact role focused on making prudent decisions that drive profitable growth.
- Apply and develop AI-powered, machine learning models to simulate and analyze risk on Affirm’s loan portfolio
- Ideate, validate, implement, and track performance of pricing recommendations that were generated by discrete optimization methods
- Build expertise in our evolving data warehouse, risk models, and optimization methodologies
- Assist in launching user-level pricing experiments and monitor against model results
- Partner with our Credit, Product, Engineering, Applied Machine Learning, Commercial, Finance and Capital Markets teams on company-wide initiatives
Requirements
- 6+ years of experience in an analytical or quantitative role
- Practical knowledge of fixed income, financial modeling, asset pricing, and consumer financial services
- Familiarity in applying Python and SQL to analyze large data sets
- PySpark experience is a plus
- Existing Github presence or portfolio of former projects
- Masters Degree in Computer Science, Mathematics, Data Science, Statistics, Finance, or Financial Engineering is a plus