Fraud Specialist Jobs in USA with Visa Sponsorship
Fraud Specialist roles qualify for H-1B visa and other work visas when the position requires a bachelor's degree in a specific field like finance, criminal justice, or data analytics. Financial services, insurance, and fintech companies regularly sponsor foreign nationals for these roles. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
ROLE AND RESPONSIBILITIES
This role supports enterprise fraud risk management by analyzing data to identify emerging fraud patterns and improve the performance of automated fraud decisioning. It involves applying statistical and quantitative methods to measure the effectiveness of fraud rules and strategies across application/identity fraud, payment and transaction fraud, and other fraud programs as needed. The role requires managing large datasets from multiple internal and third-party sources and collaborating with cross-functional teams to turn analysis into strategy. Success is measured by the accuracy and timeliness of fraud reporting and the effectiveness of the strategies that reporting informs, balancing fraud loss reduction against approval rates and customer friction. The work directly influences organization-wide fraud exposure and is presented regularly to fraud and credit risk leadership to guide business decisions.
Responsibilities:
- Design, build, and maintain program-level fraud reporting: KPIs, scorecards, dashboards, and recurring readouts covering fraud loss, detection performance, and customer impact
- Monitor and measure fraud decision engine performance and drive tuning recommendations
- Apply segmentation and statistical analysis (trend, regression, cohort, champion/challenger and A/B test readouts) to size fraud opportunities and quantify the impact of strategy changes
- Extract, process, and transform data from multiple sources — application, payment and transaction, device, and third-party identity and fraud vendor data — into analysis-ready datasets
- Evaluate new data sources and analytic products from external vendors, support proof-of-concept testing, and document findings for stakeholders
- Conduct fraud loss forecasting and exposure analysis, quantifying tradeoffs between fraud loss, approval rates, and customer experience
QUALIFICATIONS
Education:
Required: Bachelor’s degree plus 2 years of related work experience OR combination of education and experience deemed equivalent
Preferred: Acceptable areas of study include Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree
Work Experience:
Required:
- Statistical Analysis
- Data Analysis and Extraction
- Intermediate to advanced Excel
- SQL
- Strategic Thinking
- Project Management
Preferred:
- 2+ years experience in a quantitative analytical function
- Python
- Power BI
- Streamlit
- Snowflake
- AI – Claude or ChatGPT
- Predictive Modeling
- Regression Analysis
Travel:
Travel Required (Yes/No): No
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
COMPENSATION
- Base Pay Range: $76,100 - $137,300
- Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance.
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
INTRODUCTION
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees!
ROLE AND RESPONSIBILITIES
This role supports enterprise fraud risk management by analyzing data to identify emerging fraud patterns and improve the performance of automated fraud decisioning. It involves applying statistical and quantitative methods to measure the effectiveness of fraud rules and strategies across application/identity fraud, payment and transaction fraud, and other fraud programs as needed. The role requires managing large datasets from multiple internal and third-party sources and collaborating with cross-functional teams to turn analysis into strategy. Success is measured by the accuracy and timeliness of fraud reporting and the effectiveness of the strategies that reporting informs, balancing fraud loss reduction against approval rates and customer friction. The work directly influences organization-wide fraud exposure and is presented regularly to fraud and credit risk leadership to guide business decisions.
Responsibilities:
- Design, build, and maintain program-level fraud reporting: KPIs, scorecards, dashboards, and recurring readouts covering fraud loss, detection performance, and customer impact
- Monitor and measure fraud decision engine performance and drive tuning recommendations
- Apply segmentation and statistical analysis (trend, regression, cohort, champion/challenger and A/B test readouts) to size fraud opportunities and quantify the impact of strategy changes
- Extract, process, and transform data from multiple sources — application, payment and transaction, device, and third-party identity and fraud vendor data — into analysis-ready datasets
- Evaluate new data sources and analytic products from external vendors, support proof-of-concept testing, and document findings for stakeholders
- Conduct fraud loss forecasting and exposure analysis, quantifying tradeoffs between fraud loss, approval rates, and customer experience
QUALIFICATIONS
Education:
Required: Bachelor’s degree plus 2 years of related work experience OR combination of education and experience deemed equivalent
Preferred: Acceptable areas of study include Finance, Economics, Mathematics, Industrial Engineering, Statistics or related degree
Work Experience:
Required:
- Statistical Analysis
- Data Analysis and Extraction
- Intermediate to advanced Excel
- SQL
- Strategic Thinking
- Project Management
Preferred:
- 2+ years experience in a quantitative analytical function
- Python
- Power BI
- Streamlit
- Snowflake
- AI – Claude or ChatGPT
- Predictive Modeling
- Regression Analysis
Travel:
Travel Required (Yes/No): No
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
COMPENSATION
- Base Pay Range: $76,100 - $137,300
- Corporate Bonus Target: 10%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance.
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.
See all 1,214+ Fraud Specialist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Fraud Specialist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Fraud Specialist
Target financial services and fintech employers
Banks, insurance carriers, and payment processors file the most LCAs for Fraud Specialist roles. These employers have established sponsorship infrastructure and are accustomed to filing H-1B petitions for compliance and risk functions.
Emphasize your degree field on your resume
Fraud Specialist positions qualify for H-1B sponsorship only when the role requires a specific degree. Clearly connecting your finance, accounting, data analytics, or criminal justice degree to the job strengthens the specialty occupation argument significantly.
Highlight quantifiable fraud detection outcomes
Employers sponsoring a visa need confidence you'll deliver results worth the cost and effort. Concrete metrics, such as fraud loss prevented or detection rates improved, make your application stand out and justify the sponsorship investment.
Build expertise in tools that signal seniority
Proficiency in SQL, fraud analytics platforms, or machine learning-based detection tools signals technical depth. Roles requiring specialized technical skills are more defensible as specialty occupations, which matters when USCIS scrutinizes the petition.
Understand where you stand in the H-1B timeline
H-1B petitions are filed in April for an October start date. If you're on OPT, confirm your employer can file before your authorization expires. STEM OPT extension gives you up to three years to clear the lottery.
Browse visa-sponsoring employers on Migrate Mate
Not every employer is open to sponsorship, and filtering job boards manually is slow. Migrate Mate lists Fraud Specialist roles specifically from employers willing to sponsor work visas, saving you from applying to positions that will never convert.
Frequently Asked Questions
Does a Fraud Specialist role qualify for H-1B sponsorship?
It depends on how the job is structured. Fraud Specialist positions qualify for H-1B visa sponsorship when the employer requires a bachelor's degree in a specific field, such as finance, accounting, data analytics, or criminal justice. Roles that accept any degree or no degree at all won't meet the specialty occupation standard. The stronger the degree requirement in the job description, the more defensible the petition.
Which industries sponsor Fraud Specialists most often?
Financial services is the most active sector, including retail banks, credit card companies, insurance carriers, and payment processors. Fintech companies, healthcare payers, and e-commerce platforms also file regularly for fraud roles. These employers tend to have internal immigration counsel or established relationships with law firms, which makes the sponsorship process more straightforward for candidates. You can browse open roles on Migrate Mate filtered by sponsorship willingness.
What degree do I need for a sponsored Fraud Specialist position?
Finance, accounting, economics, data analytics, statistics, or criminal justice are the most commonly accepted fields. Some employers, particularly in fintech, prefer candidates with quantitative or computer science backgrounds if the role involves model-based detection. The key is that your degree must align with the specific duties of the role. A general business degree may be accepted if the coursework is relevant, but it gets harder to defend at adjudication.
How likely is USCIS to approve an H-1B petition for this role?
Approval likelihood is high when the job description clearly requires a degree in a specific field and the candidate's background matches. USCIS has issued RFEs for fraud and compliance roles where the job posting used vague language or listed degree requirements as preferred rather than required. Employers with experienced immigration counsel typically write tighter job descriptions that hold up to scrutiny. The specialty occupation argument is stronger for senior or analytically intensive roles.
Can I get sponsored as a Fraud Specialist if I'm on OPT or a grace period?
Yes, but timing matters. Your employer must file the H-1B petition before your OPT authorization expires, and the H-1B cap season only opens once a year with an April filing window. If you're on a STEM OPT extension, you have up to three years of buffer, which gives you multiple lottery cycles. If you're in your 60-day grace period between jobs, you need to find a sponsoring employer and get a petition filed before that window closes.
What is the prevailing wage requirement for sponsored Fraud Specialist jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.