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.
Posted by employer 2 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 12 hours ago
Skills & Technologies
Requirements
- Experience
- 7+ years
Not disclosed in this posting: visa sponsorship.
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 about 2 months ago — first seen on Joblaze July 30, 2026. Last confirmed on Affirm's careers page October 10, 2026.
- Salary band is above the typical range for Data Science roles (median ~$171,600).
- Starts above 70% of 63 comparable senior data science roles in United States that list Python we track (median $175,000 across 39 companies). See Python salary trends
- Python appears in 70.3% of 118 comparable senior data science roles in United States; Fraud Detection appears in 0.8% of 118 comparable senior data science roles in United States.
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
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
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
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
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
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Standard company text repeated across Affirm's postings is omitted here.