Mid Level Fraud Prevention Specialist Jobs
Mid level fraud prevention specialist jobs go to professionals ready to own investigations end to end, guide junior analysts, and shape detection strategies with limited oversight. Openings are split across on-site, remote, and hybrid settings in Technology & Software, Banking & Financial Services, and Investment & Asset Management, with employers like Plaid, Gemini, and Stripe hiring at this level now.
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Showing 5 of 21+ Mid Level Fraud Prevention Specialist jobs
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
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
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Mid Level Fraud Prevention Specialist Jobs: Frequently Asked Questions
How do I get a mid level fraud prevention specialist job?
Position your experience around ownership, not just participation. Highlight cases or projects you led independently, tools you built or improved, and measurable outcomes like fraud loss reductions or detection rate gains. Mid level hiring managers want to see that you can operate without close supervision, so emphasize decisions you made, not just tasks you completed. Tailor your resume to the specific fraud type the employer focuses on, whether payments, identity, or account takeover.
Which companies hire mid level fraud prevention specialists?
Companies hiring mid level fraud prevention specialists right now include Plaid, Gemini, and Stripe, based on current listings on Migrate Mate as of November 2026. Mid level roles at this stage tend to come from financial institutions, fintech platforms, e-commerce companies, and large enterprises with dedicated fraud operations teams that need experienced analysts ready to take on independent caseloads.
Are there remote mid level fraud prevention specialist jobs?
Yes, and remote availability at this level is strong. About 45% of mid level fraud prevention specialist openings are remote or hybrid as of November 2026, reflecting how much of the work centers on digital investigation tools and data platforms that don't require a physical presence. Financial services and fintech employers in particular post a high share of flexible-location roles at the mid level.
How do I move up to a mid level fraud prevention specialist role?
Moving into a mid level fraud prevention specialist role comes from deliberately deepening your specialization and expanding your ownership over time. Focus on mastering a specific fraud vector, such as payment fraud, synthetic identity, or account takeover, and seek out projects where you lead the investigation or response rather than supporting someone else. Building measurable results, documenting your impact, and gaining experience with industry tools like case management systems and rules engines all signal readiness for the mid level.
Which industries hire the most mid level fraud prevention specialists?
Mid Level fraud prevention specialist roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors drive mid level hiring because they process high transaction volumes, face complex fraud patterns that require experienced analysts, and operate under regulatory pressure that demands skilled professionals who can work independently and contribute to evolving detection strategies.