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

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.