Enable job alerts via email!
Boost your interview chances
Create a job specific, tailored resume for higher success rate.
An innovative company is seeking a driven individual to join their Quantitative Markets team. This role focuses on developing automation tools and optimizing business processes for consumer debt financing. The ideal candidate will have experience in data science and quantitative finance, with strong skills in Python or R. You'll collaborate with various teams to enhance funding strategies and model performance predictions. Join a forward-thinking organization that values creativity and critical thinking in a dynamic environment, and enjoy the benefits of remote work and competitive compensation.
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.
The Quantitative Markets team is responsible for structuring and pricing Affirm’s debt funding deals, developing platforms and tools for optimizing funding strategies, and building data-driven models to analyze and predict the performance of Affirm’s consumer loans. The ideal candidate will have prior experience in process automation and optimization as well as development and implementation of quantitative and/or machine learning models. Given the cross-functional nature of the role, strong interpersonal and communication skills are essential.
Base Pay Grade: I
Equity Grade: 3
Employees typically start at the beginning of the pay range, which is based on location, experience, and skills.
Base pay ranges from $90,000 to $130,000 per year, complemented by benefits such as health coverage, stipends, and equity rewards.
Affirm is a remote-first company, allowing most roles to be performed remotely within the country of employment. Some roles may require occasional office presence.
We are committed to an inclusive hiring process and provide accommodations for candidates with disabilities. We also consider qualified applicants with arrest and conviction records in accordance with local laws.
By submitting an application, you agree to Affirm's Privacy Notice and consent to data collection and processing.