Senior Data Scientist, Robinhood
Brokerage
$187-220k
Eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan; Salary varies by location
Commission-free stock trading & investing app
Job no longer available
Commission-free stock trading & investing app
1001+ employees
Job no longer available
$187-220k
Eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan; Salary varies by location
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- 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 the job involves
- 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
- 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
Our take
For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Since then, expectations have continued to evolve, with investors looking not just to lower costs, but for simpler tools, clearer information, and guidance that makes the market easier to understand.
Robinhood was built to meet those changing expectations, designed from the start as a mobile-first platform that makes investor more accessible and less intimidating for people at every stage of their financial journey. Through its app, users can trade stocks and other financial instruments while benefiting from a clean interface and built-in educational support, helping them move from curiosity to confidence without unnecessary complexity.
Recently, Robinhood has strenghtned its impact too, particularly in the UK. With the launch of AI-powered Digests within its Robinhood Cortex assistant that helps users understand what's driving stock movements in plain English, while upcoming options trading and expanded educational resources add flexibility and depth. Together, these steps position Robinhood as a platform evolving alongside its users, blending technology and education to stay ahead in an ever-changing investment landscape.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 13 rounds)
Feb 2021
$2.4bn
CONVERTIBLE
Jan 2021
$1bn
LATE VC
Total funding: $5.6bn
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder, CEO & Chairman)Studied Mathematics at Stanford University, where they met Baiju. Dropped out of a PhD to start Robinhood. Alongside Robinhood, Vlad is also the co-founder and Executive Chairman of Harmonic.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their Vlad and co-founded Robinhood in 2012. Baiju is also the Founder and CEO of Aetherflux.
Salary benchmarks
We don't have enough data yet to provide salary benchmarks for this role.
Submit your salary to help other candidates with crowdsourced salary estimates.
Share this job
View 77 more jobs at Robinhood