Senior Data Scientist, Product Fraud

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

Insights from data power most decisions at Robinhood and our company trajectory is defined by the systems, tools, and analytics powered by this exceptional team. As a Data Scientist working on Fraud and Risk, you would work with backend engineers, product managers and operations teams across the company to understand and mitigate the risks to our business.

Robinhood faces unique data challenges with a focus on integrating complex data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to understand user behaviour and the risks to our business.

We are looking for a Data Scientist to drive the growth and remediate the abuse of Instant Deposit product, which offers customers immediate access to their deposit for trading. This is a crucial role that helps Robinhood to provide the most seemless experience in trading. The ideal candidate is passionate about understanding the different fraud vectors at a fast-growing company and building solutions to mitigate these risks. This team is part of the larger Data Team here at Robinhood.

What you'll do

• Combining knowledge of fraud risk and market risk to improve our understanding of risk exposure to Instant Deposit, and partner with product managers to set the product strategy.
• Perform exploratory analysis and build monitoring dashboard on large scale datasets to assess the Instant Deposit product from the lense of revenue-risk trade off, and decomposition of different risk dimensions.
• Partner with other data scientists and software engineers in designing machine learning systems to power decisions in offering Instant Deposit access that is customized to customers and asset classes.
• Launch modeling solutions through A/B experimentation, extract insights from experiment outcome to drive future strategy.

What you bring

• Graduate degree or equivalent experience in a quantitative field like mathematics, economics, statistics, engineering or natural sciences.
• 5+ years of relevant experience as a data scientist or quantitative analyst.
• Familiarity with ACH fraud and market risk of various assets, including equity, option, crypto, futures.
• In-depth knowledge of quantitative finance models, including but not limited to asset volatility models, and options pricing models.
• Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL and Spark.
• Experience with experimentation and communicating data driven insights.
• Problem solving skills and a can-do attitude to dive deep into data to solve business problems

What we offer

• Market competitive and pay equity-focused compensation structure
• 100% paid health insurance for employees with 90% coverage for dependents
• Annual lifestyle wallet for personal wellness, learning and development, and more!
• Lifetime maximum benefit for family forming and fertility benefits
• Dedicated mental health support for employees and eligible dependents
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

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)

$179,000-$210,000 USD

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

$157,000-$185,000 USD

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

$139,000-$164,000 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.