Capital Markets Associate
Mission Lane- Full Time
- Junior (1 to 2 years)
Candidates should possess 1-3 years of relevant experience in technical areas such as data science, data analytics, or quantitative finance, along with strong data-manipulation and model development and implementation skills utilizing tools like Python or R. Experience in process automation and optimization is desired, as is a plus in building quantitative models or implementing machine learning models.
The Quantitative Analyst I, Capital will develop automation tools and optimize existing business processes to improve the efficiency of pricing and modeling consumer debt financing deals, advance Affirm’s asset-liability management model to inform funding strategies, build data-driven models to analyze and predict consumer loan performance, and partner cross-functionally with various teams to evaluate funding, product, and business decisions.
Provides buy now, pay later financing solutions
Affirm offers point-of-sale financing solutions as an alternative to traditional credit cards. It allows consumers to make purchases and pay over time through installment plans, often without hidden fees or deferred interest. Affirm partners with merchants to integrate its payment solutions into online and in-store shopping experiences, using user-friendly plugins and APIs. The company generates revenue from interest and fees on loans to consumers, as well as fees from merchants for offering its financing options. Affirm also provides a merchant dashboard for transaction processing and promotional tools to help businesses market these financing options effectively. The goal of Affirm is to empower consumers with flexible payment options while providing value to merchants in the e-commerce and retail markets.