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Job Title


Fraud Model Risk Manager, Machine Learning


Company : Affirm


Location : Nationwide, Prince Edward Island


Created : 2025-05-22


Job Type : Full Time


Job Description

Affirm Queens, Prince Edward Island, Canada Join or sign in to find your next job Join to apply for the Fraud Model Risk Manager, Machine Learning 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. Were looking for an intelligent, driven professional to join our 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 throughout the company. 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 company by mitigating risks due to ineffective model design or model misuse. What Youll Do Perform independent challenges of machine learning models used for fraud detection/fraud risk management through thorough validation and ongoing monitoring Identify model weaknesses and opportunities for improvement Collaborate with model owners to remediate model validation findings Partner cross-functionally to implement and maintain the companys MRM framework Partner with Internal Audit, Internal Controls, and Compliance to ensure timely resolution of audit and regulatory requests What We Look For 7+ years of professional experience in related technical areas such as model development, model validation, data science Deep and broad knowledge and experience in machine learning modeling, fraud detection, and fraud risk management; experience in credit risk is a plus Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., SQL) Extensive experience with machine learning platforms and frameworks (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases BS, MS, or PhD in a quantitative field such as Math, Data Science, or Computer Science Attention to detail, curiosity about data/models/algorithms, and strong critical thinking and problem-solving skills Exceptional interpersonal and communication skills (verbal and written) Pay Grade - O Equity Grade - 6 Employees new to Affirm typically start at the beginning of the pay range. Affirm emphasizes a simple, transparent pay structure based on location, experience, and skills. Base pay is part of a total compensation package that may include stipends for health, wellness, and tech expenses, along with benefits such as medical, dental, and vision coverage for you and your dependents. Employees may also be eligible for equity rewards from Affirm Holdings, Inc. (parent company). U.S. base pay range: $162,000 - $212,000 per year. Work Environment & Benefits Affirm is a remote-first company. Most roles are remote, but some may require occasional work from an office depending on responsibilities. Benefits include: Health care coverage with premiums paid by Affirm for you and dependents Flexible Spending Wallets for Technology, Food, Lifestyle, and Family Expenses Competitive vacation and holiday schedules Employee Stock Purchase Plan (ESPP) at a discount We are committed to an inclusive interview process and provide reasonable accommodations for candidates with disabilities. By submitting your application, you acknowledge reading Affirm''s Privacy Notice and consent to the collection and use of your personal data. Additional Details Senior Level: Mid-Senior level Employment Type: Full-time Job Function: Finance and Sales Referrals can double your chances of interview success. #J-18808-Ljbffr