Quantitative Analytics Manager, Affirm Bank Model Governance

div class= content-intro p 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. /p /div p 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. nbsp; /p h3 What You ll Do /h3 ul li strong Full-Stack Model Validation: /strong 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. /li li strong Advanced Quantitative Monitoring: /strong Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability (PSI), and feature importance shifts in real-time. /li li strong Remediation amp; Technical Advisory: /strong Partner with 1st-line Model Developers to drive the remediation of validation findings, ensuring models and strategies are not only compliant but mathematically robust. /li li strong Audit amp; Regulatory Liaison: /strong Partner with Internal Audit, Internal Controls, and Compliance to facilitate the timely resolution of audit and regulatory requests. /li li strong Affirm Bank: /strong 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. /li /ul h3 What We Look For /h3 ul li 7+ years of professional experience in a highly technical capacity, such as Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics /li li Deep understanding of the consumer credit lifecycle and/or fraud detection. /li li Technical familiarity with loss forecasting/fraud prediction, and stress-testing frameworks. /li li Expert-level proficiency in Python (specifically pandas, scikit-learn, statsmodels) for replicative modeling and backtesting. /li li Mastery of SQL for wrangling large-scale, distributed datasets and performing complex data lineage audits. /li li A natural problem-solver with a meticulous eye for detail, a deep curiosity for how strategies perform, and sharp critical-thinking skills. /li li Exceptional interpersonal and communication skills, with a proven ability to translate complex technical ideas for any audience. /li /ul div div div p strong Base Pay Grade - O /strong /p p strong Equity Grade - nbsp; USA 12 /strong /p p 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. /p p 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.) /p p strong USA base pay range (CA, WA, NY, NJ, CT): /strong span style= font-weight: 400; nbsp; /span span data-formula-id= _c_f_k_P5xGmz9k_0 data-error= false data-placeholder= false data-loading= false data-recalculating= false data-inactive= false $220,000 - $280,000 /span /p p strong USA base pay range (all other U.S. states): /strong span style= font-weight: 400; span data-formula-id= _c_f_k_P5xGmz9k_0 data-error= false data-placeholder= false data-loading= false data-recalculating= false data-inactive= false data-pm-slice= 0 0 [] $195,000 - $255,000 /span /span /p /div div strong Please note that visa sponsorship is not available for this position. /strong /div /div div nbsp; /div div strong span style= font-weight: 400; #LI-Remote /span /strong /div div nbsp; /div /div div class= content-conclusion div p strong Remote-first with flexibility built in /strong strong br /strong 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. /p p strong Benefits designed for you /strong strong br /strong Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: /p ul li Health coverage at no cost: We cover 100% of premiums for employees and their dependents. /li li Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. /li li Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. /li li Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. /li /ul p We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. /p p For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. /p /div div p By clicking Submit Application, you acknowledge that you have read Affirm s nbsp; a href= https://www.affirm.com/global-candidate-privacy-notice target= _blank Global Candidate Privacy Notice /a and consent to the use of your personal information as described. /p /div /div