Model Risk Management Lead, Machine Learning

Affirm

Confirmed live yesterday Trusted
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$185,000–$245,000 / yr
Posted
84 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $219k
This role $215k
$170k most similar roles pay here $266k

This role pays more than 54% of similar roles. Most pay $182,625–$254,750 — the shaded band above. At the midpoint, this role pays about $215k versus about $219k for comparable roles.

Based on 239 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 60 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

The Model Risk Management, Machine Learning role sits within the Model Risk Management team, where you will help establish, maintain, and oversee an effective framework to identify, quantify, monitor, mitigate, and report on model risk across the company. You will perform independent challenges of machine learning models used for credit underwriting, credit risk, and fraud detection through thorough validation and ongoing monitoring. Your daily work involves identifying model weaknesses, collaborating with owners to remediate findings, and partnering cross-functionally to ensure compliance with audit and regulatory requests. The role requires expertise in Python, SQL, scikit-learn, and PySpark within cloud-based environments. You will apply your knowledge of machine learning modeling, credit risk management, and fraud detection to address risks stemming from ineffective model design or misuse in critical business decision-making processes.

What you'll do

  • Perform independent challenges of machine learning models used for credit underwriting, risk, and fraud detection.
  • Validate and monitor machine learning models to identify weaknesses and opportunities for improvement.
  • Work with model owners to remediate findings from the model validation process.
  • Implement and maintain the company’s Model Risk Management (MRM) framework across the organization.
  • Resolve audit and regulatory requests in partnership with Internal Audit, Internal Controls, and Compliance teams.
  • Analyze large-scale datasets using SQL and Python to evaluate model performance and risk.

What we're looking for

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

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