Quantitative Analytics Manager, Affirm Bank Model Governance
Join Affirm's Bank Model Risk Management team as a Quantitative Analytics Manager to validate and monitor credit and fraud models.
Skills & Technologies
Requirements
- Experience
- 7+ years
Benefits
Joblaze summary
The Quantitative Analytics Manager at Affirm focuses on validating and monitoring complex credit and fraud models to ensure their effectiveness and compliance. This role requires advanced skills in Python and SQL, along with a strong background in financial risk modeling and a deep understanding of the consumer credit lifecycle. Ideal candidates will have over seven years of experience in quantitative analytics and possess excellent problem-solving and communication abilities. The position is part of a growing team dedicated to enhancing the Bank Model Risk Management function.
Joblaze insights
- Listed 24 days ago on Joblaze — tracked directly from Affirm's career page.
- Affirm has 217 other open roles including Legal Operations Analyst II, Manager, Software Engineering (Infra Foundations), Senior Software Engineer, Frontend (App Experience).
- 2641 active Python roles on Joblaze right now.
- 1091 active SQL roles on Joblaze right now.
- 253 active Machine Learning roles on Joblaze right now.
- Salary band is in line with the typical range for Data Science roles (median ~$192,000).
- Pays more than 77% of the 1568 salaried Python roles we track (median $160,000). See Python salary trends
Quick facts
- Is the Quantitative Analytics Manager, Affirm Bank Model Governance role remote?
- Yes — Affirm lists this as a fully remote position.
- What's the salary range?
- Affirm lists $195,000–$280,000 for this role.
- How much experience is required?
- At least 7 years of relevant experience for this Quantitative Analytics Manager, Affirm Bank Model Governance role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Credit Risk Modeling, Fraud Detection, Machine Learning, Python, SQL, Statistical Models.
- What seniority level is this role?
- Affirm targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Quantitative Analytics Manager, Affirm Bank Model Governance role at Affirm.
From the original posting
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 an intelligent, driven professional to join our Bank Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the Bank by mitigating risks due to ineffective model design or model misuse.
What You'll Do
- Full-Stack Model Validation: Conduct rigorous, independent validations of sophisticated credit/fraud models—including machine learning and traditional statistical models—focusing on conceptual soundness, data integrity, and performance stability.
- Advanced Quantitative Monitoring: Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability (PSI), and feature importance shifts in real-time.
- Remediation & Technical Advisory: Partner with 1st-line Model Developers to drive the remediation of validation findings, ensuring models and strategies are not only compliant but mathematically robust.
- Audit & Regulatory Liaison: Partner with Internal Audit, Internal Controls, and Compliance to facilitate the timely resolution of audit and regulatory requests.
- Affirm Bank: Work for the internal Bank team to support the build out of the Bank Model Risk Management function. Support the model validation requirements for Bank owned models.
What We Look For
- 7+ years of professional experience in a highly technical capacity, such as Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics
- Deep understanding of the consumer credit lifecycle and/or fraud detection.
- Technical familiarity with loss forecasting/fraud prediction, and stress-testing frameworks.
- Expert-level proficiency in Python (specifically pandas, scikit-learn, statsmodels) for replicative modeling and backtesting.
- Mastery of SQL for wrangling large-scale, distributed datasets and performing complex data lineage audits.
- A natural problem-solver with a meticulous eye for detail, a deep curiosity for how strategies perform, and sharp critical-thinking skills.
- Exceptional interpersonal and communication skills, with a proven ability to translate complex technical ideas for any audience.
Base Pay Grade - O
Equity Grade - USA 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): $220,000 - $280,000
USA base pay range (all other U.S. states): $195,000 - $255,000
Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
- 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
We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
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