We're looking for a driven, analytically-minded professional to join the Quantitative Research team! The Quantitative Research team builds foundational models that model the user behavior at various stages in its journey within the Affirm's ecosystem and prepare frameworks using those models to guide strategy in optimizing portfolio economics and consumer growth. In this role, you will be primarily focused on improving and expanding existing loan cashflow models for various different Affirm products, and support model use cases. This role also requires proactively engaging with other stakeholders around Affirm to tailor models to the needs of Credit, Merchant Pricing, Finance, Growth Analytics and other stakeholders.The ideal candidate will have strong analytical and problem solving skills with solid knowledge of analytical tools, interpersonal skills to work cross-functionally and drive forward recommendations, and strong eagerness to identify new opportunities for modeling, optimization and improvement. What You'll DoArchitect, build, refine and improve automation and research infrastructure for loan cashflow models on existing collateral and simulation frameworks for future loan originationsCollaborate with Machine Learning and Engineering teams to implement automated model monitoringDeep dive into Affirm collateral performance to identify potential risks and opportunities and provide insights for different stakeholdersCollaborate with firm-wide analytics teams to deliver analyses and tools to users across the firmReview implementation of models focusing on requirement verification and code quality and conduct code review for different members of the team.=What We Look For2-4 years of professional experience in a data science, modeling, or quantitative finance roleExtensive experience with SQL and Python, or other scripting languages. Experience with Spark is a plusSolid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithmsStrong curiosity to learn about data, models and algorithms and proven track record in analytical and problem solving skillsPassionate to learn about Affirm's business and desire to understand the business context Ability to collaborate and influence across different teams in the organizationGithub experience preferred. Existing github presence a plus Pay Grade - CAN29Employees new to Affirm or promoted into a new role, typically begin in the min to mid range.CAN base pay range per year:Min:$105,300Mid: $131,600Max:$157,900#LI-Remote
