Quantitative Analyst

We’re looking for a driven, analytically-minded professional to join the Quantitative Markets team! The Quantitative Markets team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies and building data-driven models to analyze and predict the performance of Affirm’s consumer loans.

The ideal candidate will have prior experience in process automation and optimization as well as the development and implementation of quantitative and/or machine learning models. Given the cross-functional nature of the role, the ideal candidate should have strong interpersonal and communication skills.

What You’ll Do

• Develop automation tools and optimize existing business processes to enable more efficient pricing and modeling of consumer debt financing deals as well as improve the overall efficiency of the team
• Advance Affirm’s asset-liability management model to help inform optimal funding strategies and forecast the economics of our business
• Build data-driven models to analyze and predict the performance of Affirm’s consumer loans
• Partner cross-functionally with our Capital Markets, Treasury, Risk, Commercial, Product, and Engineering teams to evaluate funding, product, and business decisions

What We Look For

• 0-3 years of relevant experience in technical areas (e.g. data science, data analytics, quantitative finance).
• Strong data manipulation and model development and implementation skills using Python
• Desire to understand the broader context of business decisions
• Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
• Strong interpersonal and communication skills, and ability to collaborate and influence across different teams in the organization
• Experience building quantitative models or implementing machine learning models is a plus