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Quantitative Analytics Manager
Quantitative Analytics ManagerAffirm • Dallas, TX, US
Quantitative Analytics Manager

Quantitative Analytics Manager

Affirm • Dallas, TX, US
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Overview

Join to apply for the Quantitative Analytics Manager role at Affirm

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. At Affirm, we are using today's technology to bring significant innovation to the financial industry. Since day one, our mission has been to deliver honest financial products that improve lives. That mission hasn't changed — and it never will.

We're looking for an individual to join the Merchant Pricing team. This team is responsible for enabling efficient value exchange between Affirm's merchants, consumers, and strategic partners. As a Quantitative Analytics Manager, you'll help optimize our portfolio segments at scale and refine the analytical tooling to get us there. Your day-to-day focus will be to develop analytical capabilities to enhance our research infrastructure, and to apply your knowledge to improve Affirm's loan economics. This is a high-impact role focused on making prudent decisions that drive profitable growth.

What You'll Do

  • Apply and develop AI-powered, machine learning models to simulate and analyze risk on Affirm's loan portfolio
  • Ideate, validate, implement, and track performance of pricing recommendations that were generated by discrete optimization methods
  • Build expertise in our evolving data warehouse, risk models, and optimization methodologies
  • Assist in launching user-level pricing experiments and monitor against model results
  • Partner with our Credit, Product, Engineering, Applied Machine Learning, Commercial, Finance and Capital Markets teams on company-wide initiatives

What We Look For

  • 6+ years of experience in an analytical or quantitative role
  • Practical knowledge of fixed income, financial modeling, asset pricing, and consumer financial services
  • Familiarity in applying Python and SQL to analyze large data sets
  • PySpark experience is a plus
  • Existing Github presence or portfolio of former projects
  • Masters Degree in Computer Science, Mathematics, Data Science, Statistics, Finance, or Financial Engineering is a plus
  • Pay Grade - O

    Equity Grade - 12

    Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

    Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents).

    USA base pay range (CA, WA, NY, NJ, CT) per year : $215,000 - $265,000

    USA base pay range (all other U.S. states) per year : $191,000 - $241,000

    Benefits

  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
  • Affirm is remote-first; the majority of roles are remote and you can work almost anywhere within the country of employment. A limited number of roles remain office-based due to job responsibilities.

    We're committed to an inclusive interview experience for all, including people with disabilities. Reasonable accommodations are available during the hiring process.

    [For U.S. positions that could be performed in Los Angeles or San Francisco] Affirm will consider qualified applicants with arrest and conviction records in accordance with applicable ordinances.

    By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and give informed consent to the collection, processing, use, and storage of your personal information as described therein.

    Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Research, Analyst, and Information Technology
  • Referrals increase your chances of interviewing at Affirm by 2x

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    Quantitative Manager • Dallas, TX, US