Job Description
Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives with our core values guiding us every step of the way. Join us to invest in yourself your career and the financial world.
The role:
We are looking for a Fraud Model Analyst to join our Fraud Model Development team with a focus on governance oversight and lifecycle management of third-party (vendor) fraud models. This role will be responsible for ensuring vendor models are compliant well-documented and effectively monitored within SoFi’s fraud ecosystem.
This individual will partner closely with Model Risk Management (MRM) Legal Compliance Fraud Strategy and external vendors to support onboarding validation and ongoing monitoring of vendor models. The role will also contribute to improving fraud decisioning by combining insights from vendor models with internally developed models and strategies.
The ideal candidate has a strong analytical mindset is comfortable working with data and can effectively collaborate across technical business and risk/compliance stakeholders.
By joining SoFi you'll become part of a forward-thinking company that is transforming financial services for the better. We offer the excitement of a rapidly growing startup with the stability of an industry leading leadership team.
What you’ll do:
The Fraud Model Analyst will help SoFi scale and govern vendor fraud models by:
Managing the end-to-end lifecycle of vendor fraud models including onboarding documentation monitoring and periodic reviews
Partnering with Model Risk Management (MRM) Legal and Compliance teams to ensure adherence to governance and regulatory requirements
Coordinating with external vendors to obtain model documentation technical details and performance insights
Analyzing model performance metrics (e.g. fraud capture false positive rates drift) and identifying risks or improvement opportunities
Investigating model behavior and data issues using SQL and internal datasets to support root cause analysis
Supporting fraud model development initiatives by contributing to feature analysis performance benchmarking and strategy design
Collaborating with Fraud Strategy Data Science and Engineering teams to integrate vendor models into fraud decisioning frameworks
Preparing and maintaining model documentation validation materials and audit responses
Supporting ongoing monitoring and reporting of vendor model performance including identifying degradation and recommending actions
Acting as a bridge between Data Science Engineering Fraud Strategy and Risk/Compliance teams to ensure alignment
Managing multiple models and timelines ensuring timely delivery of governance and reporting requirements
What you’ll need:
3–5 years of experience in fraud risk analytics model governance or related roles
Bachelor’s degree in a quantitative field (e.g. Statistics Mathematics Economics Engineering Computer Science) or equivalent experience
Working knowledge of Model Risk Management (MRM) frameworks and model governance processes
Strong analytical skills with experience evaluating model performance and identifying issues
Proficiency in SQL and Python for data analysis and investigation
Experience working with fraud model performance metrics (e.g. fraud capture rate false positive rate precision/recall AUC drift monitoring)
Familiarity with data science workflows and ability to work with datasets to support model analysis and validation
Experience working with cross-functional stakeholders and external partners/vendors
Strong documentation skills including experience preparing model documentation monitoring reports or audit responses
Clear communication skills with the ability to translate technical concepts into business and compliance context
Strong organizational and program management skills with the ability to manage multiple priorities
Nice to have:
Experience working with fraud models or contributing to fraud model development
Familiarity with machine learning concepts and ability to interpret model outputs and performance tradeoffs
Prior experience working with vendor models (e.g. identity device or fraud risk vendors)
Exposure to regulatory/compliance environments in financial services
Experience with model monitoring frameworks or tools
Skills Required
- 3-5 years of experience in fraud risk analytics model governance or related roles
- Bachelor's degree in a quantitative field (e.g. Statistics Mathematics Economics Engineering Computer Science)
- Working knowledge of Model Risk Management (MRM) frameworks and model governance processes
- Strong analytical skills with experience evaluating model performance and identifying issues
- Proficiency in SQL and Python for data analysis and investigation
- Experience working with fraud model performance metrics
- Familiarity with data science workflows
- Strong documentation skills
- Clear communication skills
- Strong organizational and program management skills
What the Team is Saying










SoFi Compensation & Benefits Highlights
- Parental & Family Support—Up to 12 weeks fully paid parental leave paid caregiver leave fertility/adoption resources and subsidized backup childcare/eldercare are offered. Pet insurance and family-building support further broaden the coverage.
- Healthcare Strength—Medical dental and vision coverage is paired with company-paid short- and long-term disability and life insurance. Mental-health support via Modern Health and employer HSA contributions enhance overall health support.
- Leave & Time Off Breadth—Flexible vacation for exempt employees generous PTO for non-exempt paid holidays and early-release “SoFi Fridays” expand time-off options. An additional 16 hours of paid volunteer time underscores community engagement.
SoFi Insights
What We Do
SoFi wasn’t built to be a bank. Or a technology company. We were built for one mission: help people achieve financial independence so they can realize their ambitions. Redefining an entire industry isn’t easy work—and it’s not for the faint of heart. It takes a certain kind of team. People with diverse perspectives and expertise united by a common sense of purpose. People willing to challenge assumptions but always do the right thing. People proving that innovation and responsibility don’t have to compete but can come together to create something truly unconventional in the world. For the last eight years we’ve been charting this new path forward. We call it The SoFi Way. At SoFi we don’t just talk about culture: we live it. The SoFi Way is how we show up every day how we make decisions and how we build for our members clients and each other.
Why Work With Us
Together with our members we’re changing the way people think about and interact with personal finance. We’re a next-generation Fintech company using innovative mobile-first technology to help our members reach their goals. The industry is going through an unprecedented transformation and we’re at the forefront.
Gallery
SoFi Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
For the majority of our workforce who work on a hybrid schedule the in-office requirement is a handful of days per month!







Explore More
Date Posted
05/21/2026
Views
0
Similar Jobs
Director, Associate General Counsel, Privacy, Cybersecurity, and AI -
Views in the last 30 days - 0
View Details