- You have 2+ years of experience in fraud, risk strategy, or data analysis, preferably in fintech, banking, or payments
- You’re proficient in SQL (joins, aggregations, window functions, subqueries) and can write efficient queries with minimal supervision
- You’re analytical and curious, digging into trends to understand the “why” and using data to shape smarter fraud rules
- You own projects from start to finish, defining the problem, diving into data, and driving solutions to completion
- You’re a strong communicator, translating complex insights into clear, actionable recommendations for technical and non-technical stakeholders
- You’re collaborative and know how to navigate cross-functional work with Risk Operations, Customer Experience, Product, Engineering, and Data
- You’re developing risk intuition, understanding not just what works, but why each decision drives downstream impact
- You thrive in fast-paced environments, tackling challenges, optimizing processes, and raising the bar across the team
- You're actively using AI tools in how you work today and you're excited to push what's possible with them