Join to apply for the Senior Data Scientist, Brokerage role at Robinhood

Join to apply for the Senior Data Scientist, Brokerage role at Robinhood

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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.

Brokerage products are the bread and butter of Robinhood. The brokerage team is a fast-paced, dynamic, and innovative team. As a member of this cross-functional group, you will collaborate closely with partners in product, operations, engineering, to unlock the potential of our data and shape the future of the brokerage products.

We're looking for a dedicated, ambitious Senior Data Scientist to join our Brokerage Data Science team, focusing on risk modeling for leveraged trading product offerings. In this role, you will be building statistical and ML models, and ingrate the data driven solutions to drive growth of our brokerage businesses.

This role is based in our [Menlo Park/New York] offices, 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

• Perform exploratory analysis to understand customers and their portfolios with leveraged trading products, including margin, options, futures, etc
• Design data and modeling solutions to estimate value of leveraged assets under different market environments using advanced statistical and machine learning models
• Partner closely with Product, Operations, Engineering to build and integrate model driven decision flow into business and product processes
• Assess model performance and associated business value by A/B experiment analysis and causal inference
• Communicate effectively the solution designs and data insights to cross functional partners and collaborators
  
  

• PhD in a quantitative field such as Applied Mathematics, Statistics, Economics or Engineering with 3+ years of industry experience building customer facing modeling solutions, or a Master’s degree with 5+ years of relevant experience
• Strong statistics and machine learning modeling skill
• Deep knowledge of how trading assets pricing works
• Passion to apply modeling and engineering skills to solve complex business problems
• Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL and Spark
• Solid communication skills and ability to present sophisticated modeling insights clearly to non-technical audience
  
  

• 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.
  
  

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

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