Senior Data Scientist, Analytics- Risk & Fraud

Menlo Park, CA

Robinhood

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Join a leading fintech company that’s democratizing finance for all.

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

Just as we focus on our customers, we also strive to create an inclusive environment where our employees can thrive and do impactful work. We are proud of the competitive products and company culture we’ve built and have been recognized as:

  • Forbes Fintech 50 2021
  • Glassdoor Best Places to Work 2021 
  • Inc. Best-Led Companies 2021
  • TIME 100 Most Influential Company 2021

We’re growing and looking for...

We continue to hire Robinhoodies at a rapid pace to drive this journey, and with that growth comes necessary change. We’re seeking culture builders and curious thinkers looking to co-author the next chapters of our story. We’re in build mode, majorly expanding our team while also growing up as a company. Joining now means helping shape our structures and systems, then taking part as we launch into our ambitious future.

Check out life at Robinhood on The Muse!

About the 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 Science Analyst in the Risk and Fraud team, you would work with engineers, product managers and operations teams across the company to understand and mitigate monetary risks to our business.

We are looking for experienced analysts to help detect and reduce fraud risk to Robinhood - a crucial role for our ecosystem. The ideal candidate is passionate about understanding the different risk vectors at a fast-growing fintech and building data driven solutions to mitigate these risks. This team is part of the larger Data Team here at Robinhood.

Your day-to-day will involve:

  • Working with partners to identify the key metrics their product should track and developing and sharing fraud related analysis, guidance, and dashboards to continuously measure these
  • Powering quick decisions by answering business questions by querying our vast datasets
  • Actively suggesting policies to mitigate fraud and build a trustworthy Robinhood platform
  • Adapting quantitative techniques to solve problems surfaced by multiple perspectives
  • Mentoring others as needed to democratize the use of data within the company

About you:

  • Minimum 5+ years of experience working in product analytics or product data science acting as the analytics voice in consumer product pods
  • Graduate degree in a quantitative field such as mathematics, statistics, computer science, engineering or natural sciences (or equivalent research/work experience)
  • Solid understanding of unsupervised learning, statistical analysis and models as it relates to fraud detection
  • Excellent programming skills, including expert level familiarity with either Python or R programming languages
  • At least 6 years of work experience, either in a research/ academic or commercial/ industry setting.
  • Experience communicating data driven insights
  • The ability to use data to advise, persuade, and lead

Bonus points:

  • Passion for working and learning in a fast-growing company
  • Risk & Fraud experience in fintech is a plus
  • Strong customer empathy
  • Driven sense of curiosity

We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review Robinhood's Privacy Policy please visit rbnhd.co/applicant-privacy.

Robinhood's benefits include generous time off, 401(k) participation with employer match, comprehensive health coverage, a health savings account (HSA), wellness benefits, backup childcare and education stipends (all benefits are subject to applicable taxes and based on eligibility).

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Computer Science Engineering Finance FinTech Fraud risk Mathematics Python R Research Statistics

Perks/benefits: 401(k) matching Career development Health care Wellness

Region: North America
Country: United States
Job stats:  4  1  0

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