Senior Data Scientist, Risk Engineering

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 team:

In this role, you will be using mathematical and statistical modeling techniques to derive risk insights from Robinhood's vast amount of customer data together with ever-growing market data to help safeguard customers' and Robinhood's financial assets. You will help the team build and support well-documented risk models and analytics for our fastest growing investing and lending portfolios, and also cultivate a risk-adjusted mentality throughout Robinhood.

What you’ll do day-to-day:

• Explore customer and market data to build machine learning models to predict customer behaviors that could lead to credit and operational risks
• Develop, implement, and back test robust asset volatility models, multi-factor simulation models, and options pricing models to calibrate and validate model parameters.
• Work closely with cross-functional teams including Engineering, Enterprise Risk, Product, and Operations to implement, test, and deploy models and products.
• Design stress testing scenarios covering market, credit and operational risk concerns.
• Extract model insights to provide systematic recommendations for minimizing credit, market, operational, and liquidity risks at Robinhood across the brokerage, crypto, and payment businesses.
• Prepare and review model white papers and developmental/testing evidence for model validation and management information.

About you:

• Graduate degree in a quantitative field such as mathematics, statistics, operations research, engineering or natural sciences (or equivalent research experience).
• Proven ability in building machine learning and mathematical models for credit and market risk applications.
• Proficiency in Python or R, preferably in Python.
• Experience in writing production-quality, scalable, efficient code.
• Exceptional communicator who thrives on presenting meaningful quantitative research insights to non-technical audience.

Bonus points:

• Passion for working and learning in a fast-growing company.
• Strong Looker ML, and data visualization experience.
• Familiarity with brokerage operations, margin, options and cryptocurrency.

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).