Senior Data Scientist, Robinhood
Brokerage
$146-220k
+ Equity-Focused Compensation Structure Salary dependant on location
More information about location
Commission-free stock trading platform
Job no longer available
Commission-free stock trading platform
1001+ employees
Job no longer available
$146-220k
+ Equity-Focused Compensation Structure Salary dependant on location
More information about 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 Senior Data Scientist to join our Brokerage Data Science team
- In this role, you will be using analytics, ML and quantitative finance models, and your engineering skills to build data solutions to drive growth of our brokerage businesses, including margin lending and securities lending, and other leveraged trading products
- Perform exploratory analysis to identify growth opportunities that can move core business metrics
- Design data and modeling solutions leveraging advanced statistical methods, machine learning, and quantitative finance models to price securities and assess risk of leveraged trading products
- Partner closely with Product, Operations, Engineering to build and integrate model driven decision flow into business processes
- Conduct post-launch analysis 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. Its innovative model thrives on premium features like increased buying power and extended trading hours, attracting a younger audience drawn to meme stocks like AMC and GameStop.
But Robinhood's not just about quick thrills. The company claims its mission lies in catering to "the unmet needs of the next generation," evidenced by its "Robinhood Retirement" launch, targeting gig-economy workers often excluded from financial planning. This commitment to accessibility aligns with its core values.
However, 2023 brought unexpected turbulence, as Robinhood became entangled in the FTX cryptocurrency exchange bankruptcy scandal when it emerged that the US Department of Justice seized hundreds of millions of dollars of the company's shares tied to FTX founder Bankman-Fried. Despite these challenges, Robinhood successfully bought back the missing stock, and its impact on democratizing finance remains undeniable.
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 benefits
- Well-being - Premium medical, dental, and vision insurance
- Family & home life - Parental leave, personal prosperity benefits
- Comfort & care - Annual lifestyle stipend
- Office life - Catered meals and fully stocked kitchen, commuter benefits
- Growth - Education and training, community events, career mentorships
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder)Studied Mathematics at Stanford University, where they met their fellow co-founder. Dropped out of a PhD to start Robinhood.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their fellow co-founder.
Salary benchmarks
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