Mid Level Fraud Analyst Jobs
Mid level fraud analyst jobs go to professionals ready to own investigation workflows, mentor junior analysts, and deliver risk decisions with minimal oversight. Openings are a mix of on-site, remote, and hybrid across Technology & Software, Banking & Financial Services, and Staffing & Recruiting, with Jobot, Plaid, and Stripe hiring at this level now.
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Showing 5 of 10+ Mid Level Fraud Analyst jobs
Overview
Responsibilities
In this role, you will focus on risk policy development for our Payments, Banking, Bill Pay, and other innovative fintech products. Your responsibilities on the Money Risk team will encompass fraud detection and prevention for our newest money movement products and features, as well as creating end-to-end risk policies through driving alignment with cross-functional stakeholders.
As a strategic lead within our Fraud Policy team, you will own and drive fraud risk aspects of business initiatives, directly impacting Intuit’s SMB growth and customer trust. You will have a significant impact on preventing fraud across fintech products, leveraging cutting-edge AI, and shaping the strategic direction of our fraud policy initiatives.
Successful candidates will bring extensive expertise in fraud risk, financial analytics, and innovative risk strategies to enable Intuit's SMB growth and expansion, maximize profitability, and enhance trust-related merchant and consumer experiences
Qualifications
- Strong business acumen and exceptional analytical ability, with 4+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science, Computer Science (MS/PhD Preferred)
- Preferred experience with Fintech and fraud risk in the areas of consumer lending
- 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 (see more about our compensation and benefits at Intuit®: Careers | Benefits). 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.
Mountain View $150,500 - $204,000
Overview
Responsibilities
In this role, you will focus on risk policy development for our Payments, Banking, Bill Pay, and other innovative fintech products. Your responsibilities on the Money Risk team will encompass fraud detection and prevention for our newest money movement products and features, as well as creating end-to-end risk policies through driving alignment with cross-functional stakeholders.
As a strategic lead within our Fraud Policy team, you will own and drive fraud risk aspects of business initiatives, directly impacting Intuit’s SMB growth and customer trust. You will have a significant impact on preventing fraud across fintech products, leveraging cutting-edge AI, and shaping the strategic direction of our fraud policy initiatives.
Successful candidates will bring extensive expertise in fraud risk, financial analytics, and innovative risk strategies to enable Intuit's SMB growth and expansion, maximize profitability, and enhance trust-related merchant and consumer experiences
Qualifications
- Strong business acumen and exceptional analytical ability, with 4+ years of relevant experience and bachelors degree in quantitative fields such as Statistics, Mathematics, Finance, Data Science, Computer Science (MS/PhD Preferred)
- Preferred experience with Fintech and fraud risk in the areas of consumer lending
- 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 (see more about our compensation and benefits at Intuit®: Careers | Benefits). 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.
Mountain View $150,500 - $204,000
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Staffing & Recruiting
- Fintech
- Consulting & Professional Services
Mid Level Fraud Analyst Jobs: Frequently Asked Questions
How do I get a mid level fraud analyst job?
Position your experience around ownership and impact, not just task completion. Highlight cases you led from detection through resolution, tools you configured or improved, and any cross-functional work with compliance or risk teams. Applications that show you reduced loss rates, improved alert accuracy, or trained others stand out far more than a list of responsibilities.
Which companies hire mid level fraud analysts?
Companies hiring mid level fraud analysts right now include Jobot, Plaid, and Stripe, based on current listings on Migrate Mate as of September 2026. Financial services firms, fintech companies, and large retailers tend to hire most actively at this level because their fraud volumes justify dedicated analysts who can work independently.
Are there remote mid level fraud analyst jobs?
Yes, remote and hybrid options are common at this level. About 56% of mid level fraud analyst openings are remote or hybrid as of September 2026, reflecting how much of the work involves data systems rather than in-person collaboration. On-site roles are more frequent at banks and financial institutions with strict data security requirements.
How do I move up to a mid level fraud analyst role?
Moving from entry level to mid level takes deliberate skill-building over several years. Focus on developing fluency in fraud detection tools, SQL, and case management platforms. Seek out projects where you own the full investigation cycle rather than working one piece of it. Documenting measurable outcomes, like catch rates or false-positive reductions, builds the case that you are ready for greater ownership.
Which industries hire the most mid level fraud analysts?
Mid Level fraud analyst roles concentrate in Technology & Software, Banking & Financial Services, and Staffing & Recruiting, based on current listings on Migrate Mate as of September 2026. These sectors carry the highest transaction volumes and regulatory scrutiny, which drives demand for analysts experienced enough to work complex cases and refine detection strategies without close supervision.