Senior Fraud and Risk Analyst

Intuit Quick Books is leading the charge in revolutionizing financial services for small businesses with its groundbreaking money movement platform. As part of our commitment to manage risk across all fintech 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 Risk Policy analyst, you will collaborate with Risk Operations, Data Science, Product, Engineering, Finance, and Compliance teams to design and implement risk mitigation strategies.

If you're passionate about solving real customer problems through decision science and analytics, we welcome you to join our talented team.

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 Account Risk team will encompass fraud detection and prevention for our money movement products, as well as creating end-to-end risk policies through driving alignment with cross-functional stakeholders. As an analyst, you will drive fraud/compliance risk aspects of business initiatives and respond to risk events and demands.

Successful candidates will bring expertise in fraud/compliance risk, financial analytics, and innovative risk strategies to enable Intuit's SMB growth and expansion, maximize profitability, and enhance trust-enabled merchant and consumer experiences.

• 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; or MS/PhD with 2+ years of relevant working experience. Preferred experience with Fintech in the areas of payments and SMBs.
• Working knowledge of the fundamentals of risk policy for payments processing, including fraud detection, float risk mitigation, compliance risk management
• 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 critical risk events