Intuit Inc.
Staff Fraud and Risk Analyst
Intuit Inc. - New York, New York, us, 10261
Work at Intuit Inc.
Overview
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Overview
As a Staff Fraud & Risk Analyst on Intuit’s Trust & Safety team, you will be instrumental in detecting, analyzing, and preventing fraud across our product ecosystem. You’ll translate large-scale data into strategic insights, and partner with cross-functional teams to design solutions that protect our users and business. This is a high-impact, senior-level role suited for an experienced fraud analyst who thrives in a fast-paced environment, excels at distilling signal from noise, and can influence decision-making at all levels.
All candidates should make sure to read the following job description and information carefully before applying. Responsibilities ● Analyze large, complex datasets to detect fraud trends and emerging attack vectors.● Build intuitive dashboards to visualize fraud patterns and operational metrics.● Design and track metrics to assess the performance of fraud controls and recommend improvements.● Develop robust requirements for data engineering pipelines and tooling enhancements.● Collaborate with cross-functional teams including product, engineering, data science, policy, and global risk teams.● Deliver high-quality insights and recommendations to senior leadership and stakeholders.● Support strategic initiatives around fraud taxonomy, tooling, automation, and policy evolution. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: New York City $197,000 - $266,500 This position will 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 pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Required: ● Minimum of 6 years experience in data analytics, fraud analysis, or risk strategy.● Minimum of 4 years working in e-commerce, payments, or financial services.● Advanced SQL skills with hands-on experience writing and optimizing complex queries.● Proven ability to build and maintain dashboards using tools like Tableau, QlikView, or similar.● Experience communicating technical concepts and findings clearly to non-technical stakeholders.● Demonstrated ability to lead independently, manage ambiguity, and drive results. Preferred: ● Prior experience in fraud detection, especially account take over mitigation.● Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.● Experience with Python, Splunk, GitHub, and ETL pipeline development.
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All candidates should make sure to read the following job description and information carefully before applying. Responsibilities ● Analyze large, complex datasets to detect fraud trends and emerging attack vectors.● Build intuitive dashboards to visualize fraud patterns and operational metrics.● Design and track metrics to assess the performance of fraud controls and recommend improvements.● Develop robust requirements for data engineering pipelines and tooling enhancements.● Collaborate with cross-functional teams including product, engineering, data science, policy, and global risk teams.● Deliver high-quality insights and recommendations to senior leadership and stakeholders.● Support strategic initiatives around fraud taxonomy, tooling, automation, and policy evolution. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is: New York City $197,000 - $266,500 This position will 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 pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. Required: ● Minimum of 6 years experience in data analytics, fraud analysis, or risk strategy.● Minimum of 4 years working in e-commerce, payments, or financial services.● Advanced SQL skills with hands-on experience writing and optimizing complex queries.● Proven ability to build and maintain dashboards using tools like Tableau, QlikView, or similar.● Experience communicating technical concepts and findings clearly to non-technical stakeholders.● Demonstrated ability to lead independently, manage ambiguity, and drive results. Preferred: ● Prior experience in fraud detection, especially account take over mitigation.● Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field.● Experience with Python, Splunk, GitHub, and ETL pipeline development.
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