Financial Model Risk Management Lead

Affirm · Remote USRemotolead

En corto

▸Líder en validación de modelos financieros y analíticos de alto impacto en Affirm.
▸Día a día: validas, auditas y mejoras modelos de predicción de pérdidas, planificación financiera y toma de decisiones con Python, SQL y datos a gran escala.
▸Destacado: eres la segunda línea de defensa en riesgo de modelos, con autoridad para influir en equipos técnicos y ejecutivos.

Proficiency in written and verbal English is required.

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓4–6 años de experiencia en validación o desarrollo de modelos cuantitativos
✓Conocimiento profundo en finanzas corporativas, ALM o predicción estadística
✓Experiencia con Python, SQL y análisis de grandes conjuntos de datos
✓Habilidad comprobada en modelado estadístico, series de tiempo o ML aplicado a finanzas
✓Título en campo cuantitativo (matemáticas, estadística, ciencia de datos, etc.)
✓Excelentes habilidades comunicativas para presentar a stakeholders no técnicos

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonSQLExcelDatabricksTime-series forecastingStatistical modelingSimulationMachine learningALMLoss forecasting

¿A quién escribirle en Affirm?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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. About Enterprise Risk & Internal Audit The Enterprise Risk & Internal Audit department protects Affirm’s operations and long-term success. We identify, assess, and monitor risk across the business. Our work includes internal audits, regulatory assurance, fraud prevention, and crisis planning. The team maintains strong controls, tracks key risk indicators, and ensures readiness for external reviews. We uphold accountability, transparency, and resilience to support responsible growth. About the Team We're looking for an intelligent, driven professional to join our Model Risk Management (MRM) team as a Lead validator for Finance and Analytics models. MRM serves as Affirm's second line of defense, establishing and overseeing an effective model risk management framework to identify, quantify, monitor, mitigate, and report on model risk throughout the company. What You'll Do: • 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 What We Look For: • 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 Pay Grade - M Equity Grade - 8 Employees new to Affirm typically come in at the start of

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