Remote Model Risk Lead — Finance & Analytics

Affirm; Regina; On-site; CAD 145,000 - 205,000; Full time

Benefits offered by this job

Health care coverage

Equity rewards

Time off

Job summary

Affirm is seeking a Lead Validator for Finance and Analytics models within the Model Risk Management team. You will independently validate diverse financial and analytic models, lead high-complexity engagements, and collaborate across Finance, Quant Research, Growth Analytics, and Audit to improve model governance.

Ideal candidates bring 4–6 years in model validation or quantitative analytics, with strong programming (Python/SQL) and data handling skills, and a PhD/MS/BS in a quantitative field.

Qualifications

• 4–6 years of professional experience in model development, validation, quantitative finance, or data analytics.
• Deep knowledge of corporate finance, treasury, ALM, or actuarial forecasting.
• Experience with scripting languages and large datasets; comfort with Excel/Python/Databricks.
• Strong communication to both technical and non-technical stakeholders.

Responsibilities

• Perform independent validation of financial and analytics models (ALM, forecasting, planning, risk/leverage) and monitor performance.
• Lead end-to-end validation engagements on high-complexity models.
• Identify weaknesses and improvements; clearly articulate findings to stakeholders.
• Collaborate with model owners and cross-functional teams to remediate findings and strengthen governance.
• Partner to implement and maintain the Model Risk Management framework.
• Coordinate with Internal Audit, Controls, Accounting, and Compliance on requests.

Skills

Python

SQL

Excel

Data analytics

Critical thinking

Education

Quantitative degree (BS/MS/PhD)

Tools

Databricks

Job description

Affirm is seeking a Lead Validator for Finance and Analytics models within the Model Risk Management team. You will independently validate diverse financial and analytic models, lead high-complexity engagements, and collaborate across Finance, Quant Research, Growth Analytics, and Audit to improve model governance.

Ideal candidates bring 4–6 years in model validation or quantitative analytics, with strong programming (Python/SQL) and data handling skills, and a PhD/MS/BS in a quantitative field.