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Salary: CAD 145,000 - 205,000 / annual
Affirm is seeking a Financial Model Risk Management Lead to join the Enterprise Risk & Internal Audit department's Model Risk Management (MRM) team. This role serves as a lead validator for Finance and Analytics models, functioning as Affirm's second line of defense in establishing and overseeing an effective model risk management framework.
Key responsibilities include performing independent challenges and rigorous validation of financial and analytics quantitative models—including Asset-Liability Management (ALM), allowance/loss forecasting, loan transition models, corporate financial planning models, take-up and engagement models, and related decision-support analytics. You will lead end-to-end validation engagements on high-complexity, high-criticality models, identifying model weaknesses and limitations while articulating findings clearly to both technical and non-technical stakeholders.
You'll collaborate cross-functionally with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance. The role also involves partnering with Internal Audit, Internal Controls, Accounting, and Compliance to ensure timely resolution of audit, regulatory, and examiner requests, while implementing and maintaining the company's MRM framework.
Required qualifications include 4–6 years of professional experience in model development, model validation, quantitative finance, or data analytics with meaningful exposure to financial and/or analytics model validation. You should have deep knowledge of corporate finance, treasury, ALM, and/or actuarial/statistical forecasting, with proven ability to work with scripting languages (Python) and large-scale datasets (SQL). Experience with statistical modeling, time-series forecasting, simulation, and machine learning techniques applied to finance is essential. A BS, MS, or PhD in a quantitative field (Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Computer Science, or Data Science) is required. Credit underwriting or credit risk management experience is a plus.
