Mid Level Risk Operations Analyst Jobs
Mid level risk operations analyst jobs go to professionals ready to own risk workflows end to end, guide junior analysts, and deliver findings that shape decisions with minimal oversight. 47% of openings are remote or hybrid, concentrated in Banking & Financial Services, Technology & Software, and Insurance, with employers like Regions Bank, The Hartford, and TikTok USDS Joint Venture hiring at this level now.
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Showing 5 of 40+ Mid Level Risk Operations Analyst 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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Who's Hiring
Top Industries Hiring
- Banking & Financial Services13
- Technology & Software6
- Insurance5
- Consulting & Professional Services4
- Healthcare & Medical Services3
Mid Level Risk Operations Analyst Jobs: Frequently Asked Questions
How do I get a mid level risk operations analyst job?
Position your experience around ownership, not just participation. Highlight projects where you led the analysis, identified the risk, and drove a recommendation through to resolution. Tailor your resume to show progression in scope, name the frameworks and tools you have worked with directly, and quantify impact wherever possible. Hiring managers at this level want evidence that you operate with limited supervision.
Which companies hire mid level risk operations analysts?
Companies hiring mid level risk operations analysts right now include Regions Bank, The Hartford, and TikTok USDS Joint Venture, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a mix of financial institutions, technology firms, and large enterprises that have established risk functions and need analysts who can run independently.
Are there remote mid level risk operations analyst jobs?
Yes, though availability varies by employer and function. About 47% of mid level risk operations analyst openings are remote or hybrid as of November 2026, reflecting broad adoption of flexible work across risk and compliance functions. Fully on-site roles tend to appear more often in highly regulated industries where in-person collaboration is treated as a control requirement.
How do I move up to a mid level risk operations analyst role?
Moving from entry level into a mid level role takes deliberate skill-building over your first few years. Focus on deepening your command of risk frameworks, owning discrete projects rather than just contributing to them, and demonstrating measurable impact in your work. Building familiarity with data tools, regulatory environments, and cross-functional workflows signals that you are ready to operate without close oversight.
Which industries hire the most mid level risk operations analysts?
Mid Level risk operations analyst roles concentrate in Banking & Financial Services, Technology & Software, and Insurance, based on current listings on Migrate Mate as of November 2026. These sectors tend to drive hiring at this level because their regulatory obligations, transaction volumes, and exposure to operational loss create sustained demand for analysts who can manage risk processes with real autonomy.