ZipRecruiter

Log In

1

Fraud Sql Jobs (NOW HIRING)

SoFi

Fraud Model Analyst

Cottonwood Heights, UT · On-site

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 ...

ID.me

Fraud Investigations Analyst

Mclean, VA

$80K - $93K/yr

Use SQL, Python, or similar tools to query datasets and support investigations * Leverage fraud detection tools and risk-scoring systems to identify suspicious activity * Execute investigations and ...

Amivero

Fraud Data Analyst - GSA Fraud

Washington, DC · On-site

You will implement and practice fraud monitoring, fraud analytics, fraud alerting, fraud prevention ... SQL, Python, Git and analytics tools. • Skilled in data visualization and enabling dynamic ...

SoFi

Staff Fraud Analyst

New York, NY · On-site

Architect and scale robust table structures and analytics using expert-level SQL and Python to serve as the foundation for global risk detection and real-time reporting. * Design sophisticated fraud ...

next page

Showing results 1-20

People also search for

All JobsFraud Sql Jobs

Fraud Sql information

See salary details

$76.5K

$111.3K

$150.5K

How much do fraud sql jobs pay per year?

As of Jun 10, 2026, the average yearly pay for fraud sql in the United States is $111,307.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,500.00 and $125,000.00 per year, depending on experience, location, and employer.

What is the difference between Fraud Sql vs Fraud Analyst?

AspectFraud SqlFraud Analyst
Required CredentialsSQL certifications, data analysis skillsBusiness, finance, or criminal justice degrees
Work EnvironmentData analysis teams, IT departmentsFraud investigation teams, customer service
Industry UsageFinancial institutions, e-commerceBanking, insurance, retail
Common Search/ComparisonFocus on SQL skills for fraud detectionFocus on investigative skills and case management

Fraud Sql primarily involves using SQL and data analysis to detect and prevent fraud, often working within IT or data teams. Fraud Analysts focus on investigating fraud cases, analyzing patterns, and working directly with customers or cases. Both roles are essential in fraud prevention but differ in their core responsibilities and skill sets.

Infographic showing various Fraud Sql job openings in the United States as of June 2026, with employment types broken down into 79% Full Time, 13% Part Time, and 8% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $111,307 per year, or $53.5 per hour.
Fraud Model Analyst

Fraud Model Analyst

SoFi

Cottonwood Heights, UT • On-site

Full-time

Posted 19 days ago

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

Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.
To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!
SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
The Company hires the best qualified candidate for the job, without regard to protected characteristics.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
New York applicants: Notice of Employee Rights
SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Apply