Junior Fraud and Risk Analyst

Job Description

Junior Fraud and Risk Analyst | Intuit Inc.

The Tone:
This is an early career position at Intuit Inc., located in New York, NY, or Bay Area California. Intuit QuickBooks builds an innovative money movement platform transforming financial services for small and mid-market businesses. This role supports the Fraud Policy team in preventing fraud across all fintech products, ensuring strong defenses while maintaining a positive experience for good customers. The Junior Fraud and Risk Analyst contributes to designing and implementing fraud mitigation strategies, working with senior analysts and cross-functional teams to solve real-world customer problems within fintech risk management.

The TL;DR
• Role: Early Career
• Location: New York, NY; Bay Area California
• Pay: $122000–$167500 yearly
• Team: Fraud Policy team, collaborating with Senior Analysts
• Mission: Assist in the design and implementation of fraud mitigation risk strategies across fintech products.
• Tech Stack: SQL, Excel, Python, R, data visualization tools, big data concepts

What You’ll Actually Do
• Monitor: Help track and respond to developing fraud and compliance risk events and demands.
• Support: Contribute to the development of risk policies for fintech products, including Subscription, Payments, and Banking.
• Analyze: Gather data and prepare analyses to support the creation of end-to-end risk policies and facilitate alignment with stakeholders.
• Research: Conduct investigations into the latest trends and technologies in fintech fraud to bolster the team’s defenses.
• Detect: Assist in identifying and preventing financial losses due to fraud in customers’ money movement activities.

The Must-Haves
• Background: BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field; equivalent experience will be considered. Interest in payments and SMBs within Fintech or financial services.
• Experience: 1-3 years of relevant experience in Fintech, financial services, or a highly regulated industry. Coursework or experience in using data-driven insights to solve problems.
• Skills: Proficiency in SQL and Excel for statistical analysis, strong business acumen, and analytical ability. Basic understanding of risk policy fundamentals for payments processing, including fraud detection and float risk mitigation.
• Bonus: Basic familiarity with Python or R. Experience with, or willingness to learn, data visualization tools and big data concepts.