Senior Data Scientist – Brokerage
| Company | Robinhood |
|---|---|
| Location | Chicago, IL, USA, Menlo Park, CA, USA, New York, NY, USA, Bellevue, WA, USA |
| Salary | $146000 – $220000 |
| Type | Full-Time |
| Degrees | Master’s, PhD |
| Experience Level | Senior |
Requirements
- 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
Responsibilities
- 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
Preferred Qualifications
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No preferred qualifications provided.