Data Scientist - Options Market Making
Summary
Data Scientist on Wolverine Trading's US Equity Options market-making team: designs and runs production experiments, performs post-trade analytics to improve trading features and parameters, and builds datasets from large tick databases. Core stack is Python for data science, with a required willingness to learn C# and exposure to networking/FPGA details.
We are looking for a Data Scientist to join an experienced team responsible for disseminating liquidity for over four thousand underlying products across nearly two dozen exchanges in the US Equity Options Market. Successful candidates will have the opportunity to build and grow around a research and experimentation culture, helping to shape the future direction of our analytics suite.
You will learn the intricacies of the US Equity Options Market in areas ranging from order flow dynamics to exchange rules and matching engine mechanics. The successful candidate will have an organized analytical approach to problem solving and a relentless drive for learning through experimentation.
Market makers enhance the stability of our financial system by providing crucial liquidity to the marketplace, and in doing so operate in a highly competitive landscape. We succeed by the quality of our ideas and the rate of our innovation, and you will have the opportunity to make tangible contributions towards this pursuit.
• Gain domain expertise on US Equity Option exchange micro-structure.
• Propose, run, and maintain production testing pipelines within an experimental framework.
• Curate, document, and present experimentation results to trading and engineering staff.
• Generate ideas for trading feature enhancement and parameter configurations through post trade analytics.
• Work with large tick databases to build and maintain core datasets designed to increase team productivity and facilitate strategy enhancements.
• Propose, run, and maintain production testing pipelines within an experimental framework.
• Curate, document, and present experimentation results to trading and engineering staff.
• Generate ideas for trading feature enhancement and parameter configurations through post trade analytics.
• Work with large tick databases to build and maintain core datasets designed to increase team productivity and facilitate strategy enhancements.
• Background in a quantitative field
• Knowledge of basic statistical concepts such as regression analysis
• Experience with Python and common data science packages
• Experience with object-oriented programming is a plus but not a requirement. A willingness to learn C# is required.
• An understanding of or willingness to learn about low-level details relating to networking and FGPAs.
• Strong technical and non-technical communication skills
• Knowledge of basic statistical concepts such as regression analysis
• Experience with Python and common data science packages
• Experience with object-oriented programming is a plus but not a requirement. A willingness to learn C# is required.
• An understanding of or willingness to learn about low-level details relating to networking and FGPAs.
• Strong technical and non-technical communication skills
Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff. While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges.
Benefits:
- Highly competitive salary & bonus opportunity
- Generous paid time off and flexible scheduling
- 100% coverage of medical, dental, vision, life, and disability benefits for single coverage
- Generous Paid Parental Leave
- Retirement Plans: 401K and Roth 401K
- Profit sharing plan
- Long- and short-term disability
Additional Perks:
- Free breakfast and lunch from our in-house kitchen with rotating menus (including snacks!)
- On-site gym with a subsidized membership
- Frequent company outings
- Opportunity to give back to organizations that help individuals in need in the Chicagoland area
Professional Development:
- In-house education team – classes and resources are offered for continuous learning opportunities
- Mentorship Program through your first six months of employment
The base compensation range for this role is approximately $100,000-$150,000 contingent on experience. Wolverine Trading's total compensation model includes base salary and an annual discretionary bonus.
