Affirm

Quantitative Analytics Manager

Affirm

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $215,000 - $265,000 per year

Job Level

Mid-LevelSenior

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