Senior Data Scientist, Robinhood
Product Fraud
$179-210k
+ Bonus & Equity plan
Office located in Menlo Park, CA
Commission-free stock trading platform
Posted today
Commission-free stock trading platform
1001+ employees
Posted today
$179-210k
+ Bonus & Equity plan
Office located in Menlo Park, CA
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- Graduate degree or equivalent experience in a quantitative field like mathematics, economics, statistics, engineering or natural sciences
- 5+ years of relevant experience as a data scientist or quantitative analyst
- Familiarity with ACH fraud and market risk of various assets, including equity, option, crypto, futures
- In-depth knowledge of quantitative finance models, including but not limited to asset volatility models, and options pricing models
- Strong data wrangling skills to produce analytics insights by exploring large scale data sets using SQL and Spark
- Experience with experimentation and communicating data driven insights
- Problem solving skills and a can-do attitude to dive deep into data to solve business problems
What the job involves
- As a Data Scientist working on Fraud and Risk, you would work with backend engineers, product managers and operations teams across the company to understand and mitigate the risks to our business
- Robinhood faces unique data challenges with a focus on integrating complex data streams such as rapidly changing market data, user data based on app activity, and brokerage operations data to understand user behaviour and the risks to our business
- We are looking for a Data Scientist to drive the growth and remediate the abuse of Instant Deposit product, which offers customers immediate access to their deposit for trading. This is a crucial role that helps Robinhood to provide the most seemless experience in trading
- The ideal candidate is passionate about understanding the different fraud vectors at a fast-growing company and building solutions to mitigate these risks. This team is part of the larger Data Team here at Robinhood
- Combining knowledge of fraud risk and market risk to improve our understanding of risk exposure to Instant Deposit, and partner with product managers to set the product strategy
- Perform exploratory analysis and build monitoring dashboard on large scale datasets to assess the Instant Deposit product from the lense of revenue-risk trade off, and decomposition of different risk dimensions
- Partner with other data scientists and software engineers in designing machine learning systems to power decisions in offering Instant Deposit access that is customized to customers and asset classes
- Launch modeling solutions through A/B experimentation, extract insights from experiment outcome to drive future strategy
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.
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