Remote Financial Model Risk Lead & Validator

Affirm, Inc.; Palo Alto (CA); Remote; USD 185,000 - 245,000; Full time

Benefits offered by this job

100% health coverage for employee and

Monthly tech stipends

Flexible time off

Employee stock purchase plan (ESPP)

Job summary

Affirm, Inc. is seeking a Lead Validator for Finance and Analytics models within its Model Risk Management team. You will conduct independent validation, monitor model performance, and drive improvements across ALM, forecasting, and analytics domains.

Ideal candidates bring 4–6 years of experience, strong technical and communication skills, and a track record of cross-functional collaboration in a dynamic environment. This is a remote-friendly role with US-wide scope.

Qualifications

• 4–6 years of professional experience in model development, model validation, quantitative finance, or data analytics.
• Deep knowledge of corporate finance, treasury, ALM, and/or actuarial/statistical forecasting.
• Experience with scripting languages and large-scale datasets.
• Experience with statistical modeling and machine learning techniques as applied to finance.
• Detail-oriented, analytical, and able to influence stakeholders.

Responsibilities

• Perform independent challenges of financial and analytics models through validation and monitoring.
• Lead end-to-end validation engagements on high-complexity models.
• Identify weaknesses and opportunities for improvement; communicate findings clearly to stakeholders.
• Collaborate with model owners and stakeholders to remediate findings and strengthen governance.
• Partner to implement and maintain the MRM framework and support audits/regulatory requests.

Skills

Model validation

Statistics

Time-series

Communication

Cross-functional collaboration

Critical thinking

Education

Quantitative degree (BS/MS/PhD)

Tools

Python

SQL

Databricks

Excel

Job description

Affirm, Inc. is seeking a Lead Validator for Finance and Analytics models within its Model Risk Management team. You will conduct independent validation, monitor model performance, and drive improvements across ALM, forecasting, and analytics domains.

Ideal candidates bring 4–6 years of experience, strong technical and communication skills, and a track record of cross-functional collaboration in a dynamic environment. This is a remote-friendly role with US-wide scope.