Senior Data Scientist, Fraud

5+ years of experience in data science or applied ML, with a focus on fraud detection or risk mitigation

Advanced proficiency in Python and SQL; experience with ML frameworks like XGBoost, LightGBM, or TensorFlow

Strong statistical acumen with experience in anomaly detection, pattern recognition, and A/B testing

Challenging, high-impact work to grow your career

Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching

Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents

Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more

Employer-paid life & disability insurance, fertility benefits, and mental health benefits

Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!

Design and deploy fraud detection models to protect Robinhood users and assets in real time

Analyze behavioral data to uncover emerging fraud vectors and support rapid incident response

Develop robust data pipelines and monitoring systems to ensure model accuracy and reliability

Partner with engineering and product teams to implement safeguards and user-facing features

Guide experimentation strategy and contribute to long-term fraud prevention roadmap

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.

The Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform. We leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users. Our work has direct impact on customer security, company risk posture, and regulatory compliance.

As a Senior Data Scientist on the Fraud team, you will own the design and deployment of ML solutions that proactively surface suspicious activity, reduce financial loss, and improve fraud detection precision. You’ll collaborate closely with engineering, product, risk, and compliance partners to influence system architecture, shape policy through data, and enhance the safety and integrity of our platform.