Lead independent challenges of machine learning models at affirm, with remote-first flexibility and focus on credit and fraud risk. This Model Risk Management Lead role supports an effective framework across affirm. You will validate and monitor models, identify weaknesses, and help mitigate risks from ineffective design or misuse. The work requires experience in model validation, data science, and machine learning modeling. Key Responsibilities:

Challenge machine learning models independently through validation and monitoring Identify model weaknesses and improvement opportunities Collaborate with model owners on validation findings Maintain affirm's Model Risk Management framework Resolve audit and regulatory requests with partners Requirements:

Four to six years in related technical areas Knowledge of credit underwriting, credit risk, or fraud detection Proficiency with Python and large-scale SQL datasets Experience with scikit-learn, pyspark, and cloud environments Quantitative degree and solid critical thinking skills Apply machine learning validation, Python, and credit risk expertise to strengthen affirm's model risk oversight remotely.

📌 Machine Learning Model Risk Lead (Winnipeg)
🏢 Affirm
📍 Winnipeg