Senior Data Scientist, Brokerage

Menlo Park, CA; New York, NY

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Robinhood

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

Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are 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.

With growth as the top priority...

The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.

About the team + role

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.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

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 stakeholders

What you bring

  • 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

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

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 salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$187,000—$220,000 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$165,000—$194,000 USDZone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)$146,000—$172,000 USD

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

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 embraces a diversity of backgrounds and experiences 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. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

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Category: Data Science Jobs

Tags: Causal inference Economics Engineering Finance FinTech Machine Learning Mathematics ML models PhD Privacy Spark SQL Statistics

Perks/benefits: Career development Competitive pay Equity / stock options Fertility benefits Flex vacation Health care Lunch / meals Parental leave Salary bonus Wellness

Region: North America
Country: United States

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