Model Risk Management Lead, Machine Learning

Affirm

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$185,000–$245,000 / yr
Posted
130 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $221k
This role $215k
$173k $274k
below market most similar roles pay here above market

This role pays less than 53% of similar roles. Most pay $187,850–$254,750 — the blue band above. At the midpoint, this role pays about $215k versus about $221k for comparable roles.

Based on 240 similar postings.

Employer

About Affirm

Affirm is a buy-now, pay-later (BNPL) financial technology company that offers point-of-sale installment loans to consumers, allowing them to split purchases into fixed monthly payments with transparent terms. Industry: Financial Technology & Consumer Lending

Affirm currently has 64 open roles on FindRole.

Listed pay typically runs $195,000–$255,000 across 60 roles with salary data.

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At a glance

TL;DR · Model Risk Management Lead, Machine Learning

Role Posting Log in to save

The Model Risk Management Lead, Machine Learning joins the Model Risk Management team to establish, maintain, and oversee an effective framework for identifying, quantifying, monitoring, mitigating, and reporting on model risk. This role involves performing independent challenges of machine learning models used for credit underwriting, credit risk, and fraud detection through thorough validation and ongoing monitoring. You will identify model weaknesses, collaborate with owners to remediate findings, and partner cross-functionally to ensure regulatory compliance. The position requires experience with Python, SQL, scikit-learn, and pyspark within cloud-based coding environments and databases. Candidates must possess deep knowledge of machine learning modeling and credit risk management. This role solves the technical problem of mitigating risks caused by ineffective model design or model misuse in financial decision-making.

Skills

Machine Learning Python SQL scikit-learn PySpark Model Validation Data Science Credit Risk Management Fraud Detection Model Risk Management Databases

What you'll do

  • Perform independent challenges of machine learning models for credit underwriting, credit risk, and fraud detection.
  • Conduct thorough validation and ongoing monitoring of production models.
  • Identify specific model weaknesses and opportunities for technical improvement.
  • Collaborate with model owners to remediate findings from model validations.
  • Implement and maintain the company’s Model Risk Management (MRM) framework.
  • Resolve audit and regulatory requests in partnership with Internal Audit, Internal Controls, and Compliance.

What we're looking for

  • 4-6 years of professional experience in model development, model validation, or data science.
  • Deep knowledge and experience in machine learning modeling, credit underwriting, credit risk management, and/or fraud detection.
  • Proven ability to work with script languages like Python and large-scale datasets using SQL.
  • Extensive experience with machine learning platforms (e.g., scikit-learn, pyspark) and cloud-based coding environments and databases.
  • BS, MS, or PhD in a quantitative field such as Math, Data Science, or Computer Science.
  • Strong skills in critical thinking, problem-solving, and attention to detail.
  • Extraordinary interpersonal and verbal/written communication skills.

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