Quantitative Analyst II
Remote US
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.
Weâre 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 Affirmâs ecosystem and prepare frameworks using those models to guide strategy in optimizing portfolio economics and consumer growth.Â
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. Â
What You'll Do
- Architect, build, refine and improve automation and research infrastructure for loan cashflow models on existing collateral and simulation frameworks for future loan originations
- Collaborate with Machine Learning and Engineering teams to implement automated model monitoring
- Deep dive into Affirm collateral performance to identify potential risks and opportunities and provide insights for different stakeholders
- Collaborate with firm-wide analytics teams to deliver analyses and tools to users across the firm
- Review implementation of models focusing on requirement verification and code quality and conduct code review for different members of the team.=
What We Look For
- 2-4 years of professional experience in a data science, modeling, or quantitative finance role
- This position requires either equivalent practical experience or a Bachelorâs degree in a related field
- Extensive experience with SQL and Python, or other scripting languages. Experience with Spark is a plus
- Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms
- Strong curiosity to learn about data, models and algorithms and proven track record in analytical and problem solving skills
- Passionate to learn about Affirmâs business and desire to understand the business contextÂ
- Ability to collaborate and influence across different teams in the organization
- Github experience preferred. Existing github presence a plusÂ
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Limited number of roles remain office-based Occasionally required to work from assigned office Remote US
Benefits/Perks100% subsidized medical 100% subsidized medical coverage Competitive benefits Dental and vision coverage Employee stock purchase plan Equity rewards ESPP Flexible Spending Flexible Spending Wallets Health care coverage Inclusive interview experience Inclusive interview experience for all Monthly stipends Monthly stipends for health Monthly stipends for health and wellness Remote-first company Subsidized medical coverage Tech spending Time off Transparent pay structure Wellness Wellness and tech spending
Tasks- Collaborate with teams
- Conduct code reviews
- Work cross-functionally
Algorithms Analytical Analytical tools Analytics Data Science Finance GitHub Infrastructure Interpersonal Machine Learning Machine Learning Algorithms Math Modeling Monitoring Optimization Organization Pricing Python Quantitative research Research REST Scripting Languages Spark SQL Statistics Strategy
Experience2-4 years
EducationBachelor's degree Economics Engineering Equivalent practical experience Finance Math Related Field Statistics
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9