Staff Fraud Risk Analyst

Intuit Inc.; Mountain View (CA); On-site; USD 177,000 - 239,000; Full time

Job summary

Intuit Inc. is seeking a senior Fraud Risk Analytics professional to join the Fraud Risk Management team focused on QuickBooks Capital and Business Credit Card.

You will develop and optimize strategies to prevent fraud while balancing customer experience and profitability, partnering with Data Science, Credit Risk, and product teams. With 6+ years of fraud analytics experience and strong skills in SQL/SAS/Python/R/Tableau, you will drive risk scoring, model development, and monitoring.

Qualifications

• Bachelor’s degree in a quantitative field required.
• 6+ years of experience in fraud risk analytics and risk management.
• Familiarity with risk scoring and modeling techniques (regression, multivariate analyses, ML).
• Proven expertise with industry-standard tools and fraud models.
• Strong analytical, problem-solving, and communication skills.
• Proficiency with SQL, SAS, Python, R and Tableau.

Responsibilities

• Develop, implement, and refine fraud risk strategies across underwriting, monitoring, and exposure management.
• Use data-driven and ML approaches to identify emerging fraud trends and defenses.
• Evaluate defenses with hit rates, false positives, A/B tests, and cost-benefit analyses.
• Collaborate with Data Science to enhance fraud models and performance.
• Create monitoring metrics, early warnings, and dashboards for stakeholders.
• Coordinate with Product, Engineering, Compliance, Marketing, and Operations on fraud strategy.
• Onboard and manage external fraud tools, vendors, and partnerships.
• Leverage AI and automation to improve detection speed and scalability.

Skills

SQL

SAS

Python

R

Tableau

Fraud analytics

Education

Bachelor’s degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines

Tools

Fraud platforms

Job description

One out of every two small businesses fails within their first five years, most often due to running out of cash. QuickBooks Capital is on a mission to make a dent in that statistic, by providing small businesses access to the capital they need when they need it, leveraging the data inside QuickBooks for faster and better decisioning. This way, our customers never again have to worry about not making payroll or saying no to a business opportunity. That’s how we power prosperity.

Intuit's Business Credit Card, a Quickbooks Capital product, is one of the company's most exciting new product launches, with aggressive growth plans and significant customer demand on the horizon. We are looking for top talent and team members that love new challenges, cracking tough problems and working cross-functionally. If you are looking to join a fast-paced, innovative and incredibly fun team, then we encourage you to apply.

As a key analyst of the Fraud Risk Management team for Intuit’s Business Credit Card, you will be responsible for developing, optimizing and managing strategies for fraud risk management through the product life cycle. You will be deeply familiar with typical fraud behaviors involving identity fraud, bust out, check kiting, account take over and transaction fraud, and will develop adaptive strategies to prevent and minimize fraud losses. You will partner heavily with the Data Sciences team in developing fraud risk prediction models, fraud pattern identification analyses and in devising the overall fraud risk mitigation strategy. You will also partner with the credit risk team in developing holistic approaches to mitigating total losses and setting program performance expectations. You will strive towards striking the optimal balance between great customer experience, program profitability and fraud risk mitigation.

You will be continually evaluating and onboarding new products and tools for fraud underwriting and exposure management and will actively partner with stakeholders across lending products to develop a coordinated strategy for external vendor usage. You will be an active proponent of leveraging AI and automation in developing analytical insights, updating models and deploying strategy changes.

Responsibilities

• Develop, implement, and continuously refine fraud risk management strategies across credit card underwriting, transaction monitoring, and exposure management
• Leverage data driven and machine learning-enabled approaches to devise fraud defenses and rapidly identify emerging fraud trends in the program
• Continually evaluate fraud defenses through quantitative analysis of hit rates, false positive rates, A/B test results and cost-benefit financial analyses
• Partner with the Data Science team to identify modeling needs and enhance fraud model performance
• Develop fraud monitoring metrics, early warning indicators, trend analyses and report them through performance dashboards to various stakeholders
• Drive cross-functional collaboration with Product, Engineering, Compliance, Marketing, and Operations to balance fraud prevention with seamless customer experience
• Evaluate, onboard, and manage external fraud tools, vendors, and partnerships to ensure state-of-the-art capabilities
• Leverage AI and automation to improve fraud detection speed, scalability, and precision

Qualifications

• Bachelor’s degree in Business, Finance, Economics, Mathematics, Engineering or other quantitative disciplines
• Minimum 6 years of experience in Fraud risk analytics and risk management
• Familiarity with risk scoring and modeling techniques including regression modeling, multivariate analyses and machine learning, and their application in fraud prevention
• Proven expertise with industry‑standard tools, fraud platforms, and best‑in‑class risk models
• Excellent analytical and problem‑solving skills with a proven track record of converting analysis insights into business recommendations
• Exceptional verbal and written communication skills to effectively communicate complex ideas and influence audiences in decision making
• Proficiency with analytical packages and tools such as SQL, SAS, Python, R and Tableau

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.

The expected base pay range for this position is: Mountain View $176,500 - $238,500