Fraud Detection and Prevention Lead

<div class="content-intro"><h2>Join us in building the future of finance.</h2> <p>Our mission is to democratize finance for all. <a href="https://www.cerulli.com/press-releases/cerulli-anticipates-124-trillion-in-wealth-will-transfer-through-2048" target="_blank">An estimated $124 trillion of assets</a> will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.</p></div><h2><strong>About the team + role</strong></h2> <p>We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. </p> <p>The Fraud team’s mission is to safeguard our customers and business by proactively identifying and mitigating fraud risk. We use a combination of data analysis, machine learning, industry partnerships, and in-house expertise to detect emerging threats and protect the integrity of Robinhood's products.</p> <p>As the <strong>Fraud Detection and Prevention Lead</strong>, you will drive the development and optimization of fraud detection strategies across our brokerage, money, and crypto products. You’ll lead cross-functional initiatives, collaborate with operational and technical teams, and ensure we stay ahead of evolving fraud patterns and tactics!</p> <p><strong>This role is based in our  Chicago, IL, Denver, CO, and Westlake, TX office(s), with in-person attendance expected at least 3 days per week.</strong></p> <p>At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. </p> <h2><strong>What you’ll do</strong></h2> <ul> <li>Analyze transaction and behavioral data to identify and build new fraud detection methods</li> <li>Collaborate with Fraud Operations, Data Science, and Engineering teams to design and deploy detection rules and features</li> <li>Optimize fraud rules and thresholds to reduce false positives while balancing customer experience and fraud loss</li> <li>Develop monitoring dashboards and alerting systems to track performance of fraud prevention measures</li> <li>Partner with external payment networks and third-party fraud vendors to strengthen detection capabilities</li> <li>Deliver clear and actionable insights on fraud trends and financial impact to cross-functional stakeholders</li> </ul> <h2><strong>What you bring</strong></h2> <ul> <li>You have a bachelor’s degree in Finance, Mathematics, Computer Science, or a related field</li> <li>You bring 7+ years of experience in risk or fraud detection, including developing rules, models and analytics</li> <li>You have 5+ years of hands-on SQL experience and are proficient in Python or similar scripting languages</li> <li>You demonstrate strong analytical and statistical skills with experience in techniques like pattern recognition and unsupervised learning</li> <li>You have a track record of using data visualization tools (e.g., Tableau, Looker, Superset) to translate data into business decisions</li> <li>You’re an effective communicator and collaborator, with experience wor ... (truncated, view full listing at source)