Staff Data Scientist, Brokerage

Posted:
10/22/2024, 5:28:40 AM

Location(s):
New York, United States ⋅ Chicago, Illinois, United States ⋅ Menlo Park, California, United States ⋅ California, United States ⋅ New York, New York, United States ⋅ Illinois, United States

Experience Level(s):
Expert or higher ⋅ Senior

Field(s):
Data & Analytics

Pay:
$133/hr or $276,640 total comp

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 trade execution, product, engineering, and compliance to unlock the potential of our data and shape the future of the brokerage products.

We are seeking an experienced Data Scientist to join our Brokerage team. In this role, you will be responsible for strengthening our routing strategy and driving excellence in our trade execution. This position requires proven experience in statistical modeling and optimization theory. Prior experience in finance and market behavior is preferred.

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

  • Develop, refine, and implement sophisticated data models to analyze large datasets, with a focus on market structure and order routing optimization.
  • Apply concepts from game theory and auction design to understand competitive behavior, pricing dynamics, and strategic decision-making in the markets.
  • Collaborate with trading teams to design, test, and improve algorithms that optimize trade execution.
  • Conduct post-trade analysis to evaluate performance against internal and industry benchmarks, resulting in recommendations for improvements.
  • Partner with traders, strategists, and software engineers to translate business needs into data-driven solutions and present insights to stakeholders.

What you bring

  • PhD in a quantitative field such as Mathematics, Statistics, or Engineering with 5+ years of relevant work experience, or a Master’s degree with 7+ years of relevant work experience.
  • Proven experience applying game theory, market microstructure analysis, or auction theory in a practical setting.
  • Proficiency in data analysis tools and programming languages such as Python, R, SQL, and machine learning frameworks.
  • Proficient knowledge of FINRA best execution rules and their application in the market.
  • Experience with financial data platforms and market data APIs.
  • Strong grasp of statistical methods, predictive modeling, and optimization algorithms.

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)
$217,000$255,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$190,000$224,000 USD
Zone 3 (Lake Mary, FL)
$169,000$199,000 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.

Robinhood

Website: https://www.robinhood.com/

Headquarter Location: Menlo Park, California, United States

Employee Count: 1001-5000

Year Founded: 2013

IPO Status: Public

Last Funding Type: Post-IPO Secondary

Industries: Cryptocurrency ⋅ FinTech ⋅ Stock Exchanges ⋅ Trading Platform