Senior Manager, Underwriting/Credit Model Risk, Machine Learning

Affirm

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$255,000–$315,000 / yr
Posted
28 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $219k
This role $285k
$167k most similar roles pay here $331k

This role pays more than 89% of similar roles. Most pay $182,868–$254,750 — the shaded band above. At the midpoint, this role pays about $285k versus about $219k 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 60 open roles on FindRole.

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

Most-posted roles

View all roles at Affirm

At a glance

TL;DR · Senior Manager, Underwriting/Credit Model Risk, Machine Learning

Role Posting Log in to save

The Underwriting/Credit Model Risk Senior Manager - Machine Learning joins the Model Risk Management team to oversee the underwriting and credit risk validation sector. This role requires a technical leader to manage and mentor a team of quantitative professionals while performing hands-on, independent validations of complex machine learning models. Key responsibilities include evaluating conceptual soundness, data integrity, and performance stability through rigorous testing and monitoring. The individual will identify model weaknesses, collaborate with developers on remediation, and refine the enterprise-wide Model Risk Management framework to meet regulatory expectations. Candidates must possess deep expertise in machine learning, underwriting, and credit risk management. Required technical skills include advanced Python scripting and SQL for analyzing large-scale datasets. The role addresses critical risks within the financial sector by ensuring model accuracy and reliability across core lending systems.

Skills

Machine Learning Python SQL Model Risk Management Data Science Credit Risk Underwriting Audit Compliance

What you'll do

  • Oversee the underwriting and credit risk validation sector while setting strategic direction for the domain.
  • Lead, mentor, and manage a team of quantitative professionals in the MRM department.
  • Execute independent validations of complex machine learning models used for underwriting and credit risk.
  • Evaluate model conceptual soundness, data integrity, and performance stability through comprehensive testing and monitoring.
  • Identify model weaknesses and collaborate with developers to track and resolve validation findings.
  • Partner with cross-functional stakeholders to refine and improve the enterprise-wide Model Risk Management framework.
  • Coordinate with internal teams to ensure all model activities meet internal standards and regulatory requirements.

What we're looking for

  • 9+ years of professional experience in model development, model validation, or quantitative analytics.
  • Deep understanding of machine learning modeling, underwriting, and credit risk management.
  • Advanced ability to script in Python and expertise using SQL to analyze large-scale datasets.
  • Proven track record of hiring, managing, and mentoring quantitative teams.
  • Ability to translate complex technical concepts for diverse audiences.
  • BS, MS, or PhD in a quantitative discipline such as Statistics, Quantitative Finance, Mathematics, or Data Science.

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