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. 

We’re looking for a driven professional to join our Quantitative Research team. Quantitative Research is a part of the broader Quantitative Markets team, which is responsible for structuring and pricing Affirm’s debt funding deals and researching and building data-driven models to analyze and predict the performance of Affirm’s consumer loans.

In this role, you will be primarily focused on analytical tools development, working with engineers and data scientists around the company to improve the usability of the take-up and loan cashflow models! Over time, you would proactively engage with other stakeholders around Affirm to tailor models to the needs of Merchant Pricing, Credit, Applied Machine Learning, Finance, and other partners. We are searching for a candidate with strong analytical and problem solving skills and a proven knowledge of analytical tools, as well as interpersonal skills to work cross-functionally and drive forward recommendations!

What you'll do

  • Architect, build, refine and increase automation and research infrastructure for modeling existing collateral and simulation frameworks performance for future loan originations
  • Collaborate with platform (Machine Learning and Engineering) teams to implement framework for automating and presenting analytics, reports, and monitoring
  • Deep dive into Affirm collateral to identify potential threats and opportunities for different partners on the asset and liability side
  • 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

  • Undergraduate, Masters, or PhD in Computer Science or other quantitative field
  • 4-7 years of professional experience developing quantitative infrastructure tools and platforms
  • Solid background in math/statistics/finance and familiarity with quantitative research methodologies and machine learning algorithms
  • Analyze unique business operational requirements and conduct research in order to design appropriate technical solutions to accommodate those functional needs
  • Ability to contribute to the analytics, research, and model development process
  • Ability to develop positive relationships and work across all organizational levels
  • Github experience preferred. Existing github presence a plus
If you got to this point, we hope you're feeling excited about the job description you just read. Even if you don't feel that you meet every single requirement, we still encourage you to apply. We're eager to meet people that believe in Affirm's mission and can contribute to our team in a variety of ways – not just candidates who check all the boxes.
 
At Affirm, "People Come First" is a core value and that’s why diversity and inclusion are vital to our priorities as an equal opportunity employer. You can read about our D&I program here and our progress thus far in our 2019 D&I report.
 
We also consider qualified applicants with arrest and conviction records for positions in accordance with applicable laws, including the San Francisco Fair Chance Ordinance.
 
By clicking "Apply for this job," I acknowledge that I have read the Affirm Employment Privacy Policy, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.

Apply for this Job

* Required
  


Demographic Questions & Categorizations

Affirm is dedicated to building a diverse team and an inclusive culture. We believe that it’s crucial to Affirm’s long-term success to create an environment where all Affirmers feel like they belong and have an equal opportunity to succeed.

For this reason, we are asking candidates to voluntarily self-identify through a few demographic questions. Our purpose in collecting this information is to help us assess our outreach efforts and diversity representation goals. Your responses will not be linked to your identity or your application, and neither recruiters nor hiring managers can see this information at an individual level. Your responses are stored in the aggregate and will not play any role in our hiring decision.  Your decision to participate or not participate in this survey will have no impact on your candidacy at Affirm. 

How do you identify? (gender identity)






Do you identify as LGBTQ+?



How do you identify? (race/ethnicity)












What is your veteran status?



What is your disability status?