Join us in building the future of finance.
\nOur mission is to democratize finance for all.
\nAn estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history.
\nIf you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.
\nAbout the team + role
\nWe 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.
\nRobinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers.
\nWe’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards.
\nThe Fraud Data Science team safeguards Robinhood and its customers by detecting and preventing fraud and abuse across our platform.
\nWe leverage machine learning and analytics to combat malicious behavior in real time, supporting a safe and trusted experience for all users.
\nOur work has direct impact on customer security, company risk posture, and regulatory compliance.
\nAs 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.
\nYou’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.
\nThis role is based in our Menlo Park office(s), with in-person attendance expected at least 3 days per week.
\nAt Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.
\nOur office experience is intentional, energizing, and designed to fully support high-performing teams.
\nWhat you’ll do
\nWhat you bring
\nWhat we offer
\nIn addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
\nBase pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.
\nThe expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones.
\nFor other locations not listed, compensation can be discussed with your recruiter during the interview process.
\nBase Pay Range:
\nZone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)
\n$187,000-$220,000 USD
\nZone 2 (Denver, CO; Westlake, TX; Chicago, IL)
\n$165,000-$194,000 USD
\nZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
\n$146,000-$172,000 USD
\nXML job scraping automation by YubHub
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