Senior Data Scientist, Brokerage
Robinhood • Menlo Park, CA, USA; New York, NY, USA; Chicago, IL, USA
Last updated 3 weeks ago
•
$146K—$220K
Robinhood
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Job description
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 Data Scientist to join our Brokerage Data Science team. In this role, you will be building data solutions to drive growth of various trading products in 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 identify growth opportunities that can move core business metrics
- Design data and modeling solutions using advanced statistical methods, optimization, machine learning, and quantitative finance models to price securities, evaluate trading strategies, and assess risk of leveraged trading products
- Partner closely with Product, Operations, Engineering to build and integrate model driven decision flow into business and product processes
- Conduct post-launch analysis through A/B experiment and causal inference to evaluate model performance and associated business value
- Communicate effectively the solution designs and data insights to cross functional partners and stakeholders
What you bring
- PhD in a quantitative field such as Mathematics, Statistics, or Engineering with 3+ years of work experience in trading and pricing functions at broker dealers, market makers, and investment managers, or a Master’s degree with 5+ years of aforementioned relevant work experience.
- Strong 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
- Proven ability in applying statistical methods, predictive modeling, and optimization algorithms in solving business problems
- In-depth knowledge of quantitative finance models, including but not limited to asset volatility models, factor models, options pricing models
- Strong communication skills and ability to present sophisticated quantitative 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
We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.
Please see the independent bias audit report covering our use of Covey here.
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.
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.