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Financial Model Risk Management Lead

Affirm· Internal Audit
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Remote$185k - $245kfull-timePosted 2mo ago

About the role

Lead validator role within Affirm's Model Risk Management team, focusing on independent validation and monitoring of finance and analytics models, and ensuring remediation and governance across cross-functional partners.

Responsibilities

  • Perform independent challenges of financial and analytics quantitative models — including ALM, allowance/loss forecasting, loan transition models (LTM), corporate financial planning models, take-up and engagement models, and related decision-support analytics — through rigorous validation and ongoing monitoring
  • Lead end-to-end validation engagements on high-complexity, high-criticality models
  • Identify model weaknesses, limitations, and opportunities for improvement; articulate findings clearly to technical and non-technical stakeholders
  • Collaborate with model owners and stakeholders across Finance, Quantitative Research, and Growth Analytics to remediate validation findings and strengthen model governance
  • Partner cross-functionally to implement and maintain the company's MRM framework
  • Partner with Internal Audit, Internal Controls, Accounting, and Compliance to ensure timely resolution of audit, regulatory, and examiner requests

Qualifications

  • 4–6 years of professional experience in related technical areas such as 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, credit risk management is a plus
  • Proven ability to work with scripting languages (e.g., Python) and large-scale datasets (e.g., 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 as 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; skilled at critical thinking and structured problem-solving
  • Extraordinary interpersonal and verbal/written communication skills — able to influence model owners, present to senior stakeholders, and navigate cross-functional remediation

Skills

Required:Model validationPythonSQLTime-series forecastingCommunication

Benefits

  • Health coverage at no cost for employees and dependents
  • Monthly stipends for tech setup and health/wellness options
  • Flexible time off and generous holiday calendar
  • Employee stock purchase plan (ESPP) with stock discounts
Last updated Sep 16, 2026. Interested? Apply on the company site.

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