Fraud Analyst Jobs in USA with Visa Sponsorship
Fraud Analyst roles qualify for H-1B visa sponsorship as a specialty occupation requiring a bachelor's degree in finance, accounting, or a related field. Employers in banking, fintech, and insurance regularly file Labor Condition Applications for this role, making it a realistic target for international candidates on OPT, H-1B, or pursuing a green card. For detailed occupation requirements, see the O*NET profile.
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Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team.
Responsibilities
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
- Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
- Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
- Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
- Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
- Must have good judgement with the ability to think creatively and strategically
Qualifications
- Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
- Preferred experience with Fintech, Payments, NeoBanking or consumer lending fraud space.
- Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
- Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
- Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
- Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
- You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
- New York $168,500 - $228,000
Overview
Intuit is a global platform company that is on a mission to power prosperity worldwide for consumers, small businesses and the self-employed. Across our four leading brands – Turbo Tax, Credit Karma, QuickBooks, and Mailchimp – Intuit serves over 100M customers and is one of the few companies in the world to have both a thriving consumer and small business ecosystem. Intuit is known for its innovation track record, customer centricity, and its consistent recognition as a top place to work.
As part of our commitment to preventing fraud across all consumer lending products, we are expanding our Fraud Policy team, which utilizes cutting-edge AI technology to detect and prevent fraud while minimizing impact on good customers. As a Staff Fraud and Risk Analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering and Compliance teams to design and implement fraud mitigation risk strategies. If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team.
Responsibilities
This role will involve developing fraud risk policies for our innovative consumer lending and banking products, with a focus on fraud detection and prevention for new money movement products and features. You will create end-to-end risk policies and drive alignment with cross-functional stakeholders. Additionally, you will manage fraud risk aspects of business initiatives and respond to fraud-related events and demands. Expertise in fraud risk, financial analytics, and innovative risk strategies is required to enable Intuit's growth, expansion, profitability, and trust-enabled consumer experiences.
- Use advanced analytical techniques to mine massive scale account and transactional data to build/optimize fraud risk strategies/policies, and translate into actionable business plans
- Lead the full cycle of risk strategy/policy work, including identify opportunities and action plan, develop and test policy, launch policy to production and monitor the performance
- Build subject matter expertise in different types of risks among money movement offerings to optimize the balance between risk mitigation and growth in the Intuit ecosystem
- Team up with our data scientist, risk operations, product, data engineering, analytics teams closely to drive customer segmentations, develop innovative risk strategies, and perform portfolio analyses
- Test into and recommend 3rd party data providers to solve individual stolen identity, ATO and other types of exposure risk
- Design, implement, and monitor testing to explore new methodologies and estimate key metrics for our risk strategies
- Must have good judgement with the ability to think creatively and strategically
Qualifications
- Strong business acumen and exceptional analytical ability, with 5+ years of relevant experience and bachelor's degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science; or MS/PhD with 2+ years of relevant working experience.
- Preferred experience with Fintech, Payments, NeoBanking or consumer lending fraud space.
- Working knowledge of the fundamentals of risk policy for consumer loans and line of credit including fraud detection and identity checks
- Demonstrated experience in designing experiments and using data-driven insights to solve business problems.
- Proficient in statistical analysis tools like SQL, Excel, Python, R, and data visualization tools. Familiarity with big data technologies such as Hive, Hadoop, and related concepts preferred.
- Polished partnership and communication skills, with the ability to interact cross-functionally with both business and technical partners. You tell stories with data to influence stakeholders and build consensus for plans of action.
- You thrive in a fast-paced environment, and are responsive and decisive during periods of peak fraud activity.
- Passion for analyzing data and an insatiable curiosity to understand complex business issues and proactively looking for business opportunities and drive new innovations
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
- New York $168,500 - $228,000
See all 247+ Fraud Analyst Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Fraud Analyst
Frame your degree for specialty occupation
Fraud analysis sits at the intersection of finance, data science, and risk management. When your degree is in a field like statistics or information systems, document how your coursework directly maps to fraud detection methodologies to strengthen the specialty occupation argument in your H-1B petition.
Target financial institutions with LCA history
Banks, payment processors, and insurance carriers file Labor Condition Applications for Fraud Analyst roles far more consistently than retail or tech startups. Prioritize employers in regulated industries where compliance obligations make fraud investigation a permanent, year-round function rather than a temporary need.
Search verified sponsors on Migrate Mate
Use Migrate Mate to browse Fraud Analyst roles at employers with verified LCA sponsorship history. Filtering by employers who have filed for this occupation type cuts out the guesswork of cold-applying to companies that have never navigated the sponsorship process.
Clarify your OPT authorization before interviews
Fraud Analyst roles often require immediate background checks and system-access clearances. Confirm with your DSO that your OPT employment authorization is active and that your employer is E-Verify enrolled, since STEM OPT extension requires E-Verify compliance from day one of the extension period.
Benchmark your offer against OFLC prevailing wages
Your employer must certify through the LCA that your salary meets the prevailing wage for Fraud Analysts in your work location. Run the OFLC Wage Search using the correct metropolitan area before accepting an offer to verify the wage level aligns with what DOL will certify.
Prepare for EB-2 or EB-3 green card eligibility early
Fraud Analyst positions with an advanced degree requirement can support an EB-2 petition, while roles requiring two or more years of experience qualify under EB-3 skilled worker. Ask your employer about PERM labor certification timelines during the offer stage, since priority date backlogs vary significantly by country of birth.
Frequently Asked Questions
Does a Fraud Analyst role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position genuinely requires a bachelor's degree or higher in a directly related field such as finance, accounting, economics, or data science. Roles that accept any bachelor's degree regardless of field can face H-1B RFEs, so the job description should specify the required discipline and your degree should match it closely.
Which visa types do Fraud Analyst candidates most commonly use for U.S. sponsorship?
H-1B is the most common path for full-time Fraud Analyst roles. F-1 students frequently start on OPT, with STEM OPT available if your degree falls under a qualifying CIP code. Australian nationals can pursue the E-3 visa, which has no lottery and an annual cap that has never been exhausted. TN visa status does not cover Fraud Analyst roles, as the occupation is not on the USMCA profession list.
How do I find employers who actively sponsor Fraud Analyst positions?
Migrate Mate lists Fraud Analyst roles at employers with verified LCA sponsorship history, so you can focus your applications on companies that have already navigated the filing process. Financial services firms, insurers, and payment networks are among the most consistent sponsors for this role.
Will a security clearance or background check requirement affect my visa sponsorship?
Background checks are standard for Fraud Analyst roles and don't affect visa eligibility directly. Some federal contractor positions require U.S. citizenship or permanent residency for certain security clearance levels, which would exclude visa holders. Focus on private-sector financial institutions, fintech companies, and insurers, where most Fraud Analyst roles don't require government security clearances.
Can a Fraud Analyst on H-1B change employers without losing status?
Yes. Under H-1B portability, you can start work with a new employer once the new I-129 petition is filed with USCIS, without waiting for approval, as long as you're maintaining valid H-1B status. The new employer must file their own LCA and I-129 petition before your first day. There's no 180-day waiting period for this type of portability.
What is the prevailing wage requirement for sponsored Fraud Analyst 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.