Quantitative Analytics Manager, Affirm Bank Model Governance

Affirm; Philadelphia (Philadelphia County); On-site; USD 195,000 - 280,000; Full time

Benefits offered by this job

Equity rewards

100% subsidized medical coverage

Wellness and tech stipends

Remote-first culture

Job summary

Affirm is seeking an experienced professional for its Bank Model Risk Management team to validate credit and fraud models, focusing on robustness and data integrity.

You will develop automated monitoring in Python, collaborate with developers to remediate findings, and support regulatory requests across the bank’s model risk framework. This is a remote-first role with potential office-based elements.

Qualifications

• 7+ years of highly technical experience in credit/fraud/financial risk modeling or model validation
• Strong understanding of consumer credit lifecycle and fraud detection
• Expert Python for replicative modeling and backtesting (pandas, scikit-learn, statsmodels)
• Proficient SQL for large-scale data wrangling and data lineage audits
• Excellent communication skills to translate complex concepts to any audience

Responsibilities

• Perform full-stack model validation of credit/fraud models with a focus on conceptual soundness and data integrity
• Develop automated monitoring in Python to track drift (KRI/KPI), PSI, and feature importance
• Lead remediation and advise on robust mathematical validation with model developers
• Coordinate with Audit, Internal Controls, and Compliance for regulatory requests
• Support the Bank Model Risk Management function for bank-owned models

Skills

Python

SQL

Model validation

Credit risk

Fraud modeling

Backtesting

Communication

Job description

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 are 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

Please note that visa sponsorship is not available for this position.

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.

Benefits

We are 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 Its 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.