Fraud Model Analyst

SoFi

Quick summary

Work type
On-site
Location
San Francisco, CA
Salary
$128,000–$240,000 / yr
Posted
26 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $151k
This role $184k
$99k most similar roles pay here $255k

This role pays more than 76% of similar roles. Most pay $119,050–$183,146 — the shaded band above. At the midpoint, this role pays about $184k versus about $151k for comparable roles.

Based on 239 similar postings.

Employer

About SoFi

SoFi Technologies is a fintech company offering student and personal loans, mortgages, credit cards, investing, banking, and insurance products, positioning itself as a one-stop financial services platform. Industry: Financial Technology & Personal Finance

SoFi currently has 36 open roles on FindRole.

Listed pay typically runs $153,600–$258,500 across 36 roles with salary data.

Most-posted roles

View all roles at SoFi

At a glance

TL;DR · Fraud Model Analyst

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As a Fraud Model Analyst at SoFi, you will join the Fraud Model Development team as a mid-level professional responsible for overseeing third-party fraud models. Your daily tasks include managing the lifecycle of vendor models from onboarding to monitoring, collaborating with MRM, Legal, Compliance, and external vendors to ensure regulatory compliance, analyzing model performance metrics using SQL and Python, and integrating vendor models into decision-making frameworks alongside internal teams. You will need 3-5 years of experience in fraud or risk analytics roles, a quantitative degree, proficiency in SQL and Python, strong analytical skills, and the ability to work with cross-functional stakeholders. Familiarity with machine learning concepts and regulatory environments is beneficial but not required.

Skills

SQL Python Model Risk Management MLOps Fraud Model Performance Metrics Data Science Workflows Cross-Functional Collaboration Documentation Communication Organizational Skills Program Management

What you'll do

  • Manage the lifecycle of vendor fraud models from onboarding to periodic reviews.
  • Ensure compliance and governance adherence for vendor models through collaboration with MRM, Legal, and Compliance teams.
  • Analyze performance metrics of vendor models to identify risks and improvement opportunities.
  • Investigate model behavior using SQL and internal datasets to support root cause analysis.
  • Integrate vendor models into fraud decisioning frameworks by collaborating with cross-functional teams.
  • Prepare and maintain comprehensive documentation for model validation and audit responses.

What we're looking for

  • 3-5 years of experience in fraud analytics, risk management, or related roles.
  • Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Engineering, or Computer Science.
  • Proficiency in SQL and Python for data analysis and model evaluation.
  • Strong analytical skills with experience evaluating model performance metrics.
  • Experience working with cross-functional teams including Legal, Compliance, and Data Science.
  • Familiarity with Model Risk Management frameworks and governance processes.
  • Clear communication and documentation skills to translate technical concepts into business context.

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