Fraud Detection and Prevention Lead

Join us in building the future of finance.

Our Mission Is To Democratize Finance For All.

An estimated $124 trillion of assets

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.

About The Team + Role

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 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.

As the

Fraud Detection and Prevention Lead

, 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!

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.

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.

What you’ll do

Analyze transaction and behavioral data to identify and build new fraud detection methods

Collaborate with Fraud Operations, Data Science, and Engineering teams to design and deploy detection rules and features

Optimize fraud rules and thresholds to reduce false positives while balancing customer experience and fraud loss

Develop monitoring dashboards and alerting systems to track performance of fraud prevention measures

Partner with external payment networks and third-party fraud vendors to strengthen detection capabilities

Deliver clear and actionable insights on fraud trends and financial impact to cross-functional stakeholders

What You Bring

You have a bachelor’s degree in Finance, Mathematics, Computer Science, or a related field

You bring 7+ years of experience in risk or fraud detection, including developing rules, models and analytics

You have 5+ years of hands-on SQL experience and are proficient in Python or similar scripting languages

You demonstrate strong analytical and statistical skills with experience in techniques like pattern recognition and unsupervised learning

You have a track record of using data visualization tools (e.g., Tableau, Looker, Superset) to translate data into business decisions

You’re an effective communicator and collaborator, with experience working across operations, data science, and engineering

What We Offer

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!

Exceptional office experience with catered meals, events, and comfortable workspaces.

In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.

Base 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. The 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. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$128,000

—

$150,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$112,000

—

$132,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$99,000

—

$117,000 USD

Click

here

to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the

Privacy Policy

for your country of application.