Quantitative analyst II

Company Description Affirm is a technology-forward financial services company focused on transforming the industry through simple, transparent, and customer-centric products. The organization offers roles across engineering, product, finance, operations, revenue, marketing, people, and other teams, providing opportunities for diverse professional backgrounds. Affirm is remote-first, enabling team members to work from various locations, while also maintaining offices in major cities across North America and Europe. The company emphasizes candidate safety and clarity in recruiting communications, using only official email domains and never requesting upfront fees. Team members benefit from comprehensive, award-winning benefits designed to support their overall well-being and growth.
Role Description The Quantitative Analyst II is a full-time, remote role responsible for developing and applying quantitative models to support risk management, pricing, and strategic decision-making across Affirm’s financial products. This role involves analyzing large datasets, performing statistical and mathematical modeling, and generating insights that inform market risk assessments and portfolio performance. The Quantitative Analyst II will collaborate with cross-functional partners in risk, product, engineering, and finance to design analytical frameworks, evaluate new initiatives, and optimize existing processes. Day-to-day responsibilities include building and validating quantitative tools, monitoring key metrics, preparing clear reports and presentations, and communicating findings to technical and non-technical stakeholders. The role also contributes to continuous improvement of methodologies, documentation, and best practices in quantitative analytics.
Qualifications
Strong quantitative foundation, including skills in Statistics and Mathematics
Experience in Market Risk analysis and related risk management practices
Advanced Quantitative Analytics capabilities, including model development and validation
Well-developed Analytical Skills for working with large, complex datasets and deriving actionable insights
Proficiency with analytical and programming tools (e.g., Python, R, SQL, or similar)
Familiarity with financial products, credit risk, or consumer lending is beneficial
Ability to clearly communicate technical concepts to diverse audiences and collaborate in cross-functional teams
Bachelor’s or Master’s degree in a quantitative discipline (such as Statistics, Mathematics, Economics, Finance, Data Science, or related field)
Comfort working in a remote-first environment, with strong time management and self-directed work habits

Work arrangement
Yes