Financial Model Risk Management Lead
Posted 1ds ago
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Job Description
Financial Model Risk Management Lead validating finance and analytics models for Affirm’s buy-now-pay-later platform. Leading model governance, risk challenges, and remediation across Finance and Analytics.
Responsibilities:
- Perform independent challenges of financial and analytics quantitative models, including ALM, allowance/loss forecasting, loan transition models, corporate financial planning models, take-up and engagement models, and related decision-support analytics
- Lead end-to-end validation engagements on high-complexity, high-criticality models
- Identify model weaknesses, limitations, and improvement opportunities
- Clearly articulate findings to technical and non-technical stakeholders
- Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate findings and strengthen model governance
- Partner cross-functionally to implement and maintain Affirm's Model Risk Management framework
- Partner with Internal Audit, Internal Controls, Accounting, and Compliance to resolve audit, regulatory, and examiner requests on time
Requirements:
- 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
- Deep and broad knowledge of corporate finance, treasury, ALM, and/or actuarial/statistical forecasting
- Experience in credit underwriting or credit risk management is a plus
- Proven ability to work with scripting languages such as Python and large-scale datasets such as SQL
- Comfort reviewing models built in Excel, Python, Databricks, or similar environments
- Experience with statistical modeling, time-series forecasting, simulation, and/or machine learning techniques applied to finance and analytics use cases
- BS, MS, or PhD in a quantitative field such as Quantitative Finance, Financial Engineering, Mathematics, Statistics, Economics, Computer Science, or Data Science
- Detail-oriented and intellectually curious about data, models, and business context
- Critical thinking and structured problem-solving skills
- Extraordinary interpersonal and verbal/written communication skills
- Ability to influence model owners, present to senior stakeholders, and navigate cross-functional remediation
Benefits:
- Equity rewards may be included in total compensation
- Monthly stipends for health, wellness, and tech spending
- 100% subsidized medical coverage for employees and dependents
- Dental and vision coverage for employees and dependents
- Flexible Spending Wallets with stipends for Technology, Food, Lifestyle needs, and family forming expenses
- Competitive vacation and holiday schedules
- Employee stock purchase plan (ESPP) enabling discounted Affirm shares
- Reasonable accommodations during the hiring process










