The Role
Conducts quantitative research and experimentation for options market-making strategies. Responsibilities include building production testing pipelines, analyzing post-trade data, maintaining large tick-data datasets, presenting findings, and developing trading features and parameter configurations. The role requires learning options-market microstructure, exchange mechanics, networking, and FPGA-related concepts while collaborating with trading and engineering teams.
Summary Generated by Built In
Data Scientist - Options Market Making
Department: Trading
Employment Type: Full Time
Location: Chicago, IL
Description
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.
What You'll Do• 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.
What We're Looking For• 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
Why Join Us
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:
Additional Perks:
Professional Development:
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.
Department: Trading
Employment Type: Full Time
Location: Chicago, IL
Description
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.
What You'll Do• 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.
What We're Looking For• 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
Why Join Us
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.
Skills Required
- Background in a quantitative field
- Knowledge of basic statistical concepts, including regression analysis
- Experience with Python and common data science packages
- Willingness to learn C#
- Understanding of, or willingness to learn, low-level networking and FPGA details
- Strong technical and non-technical communication skills
- Object-oriented programming experience
Wolverine Trading Compensation & Benefits Highlights
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Healthcare Strength — Core medical, dental, vision, life, and disability coverage is paired with mental‑health resources, with several postings noting 100% employer‑paid premiums for single coverage. Wellness programs, an EAP, HSA options, and onsite wellbeing resources are also described.
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Retirement Support — 401(k) and Roth 401(k) plans are offered alongside a profit‑sharing program, with some roles describing a company match. Profit sharing directed into retirement accounts is often highlighted as a meaningful long‑term benefit.
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Wellbeing & Lifestyle Benefits — Free daily breakfast and lunch, onsite/subsidized gym access with fitness stipends, wellness initiatives, and frequent social events and clubs are emphasized. Onsite amenities like a meditation space and an in‑house culinary team further bolster day‑to‑day experience.
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The Company
What We Do
The Wolverine companies comprise a number of diversified financial institutions specializing in proprietary trading, asset management, order execution services, and technology solutions. We are recognized as a market leader in derivatives valuation, trading, and value-added order execution across global equity, options, and futures markets.
Why Work With Us
At Wolverine, we've created a strong, collaborative environment with exceptional growth opportunities. Whether your interest is trading, technology, or operations, motivated and innovative individuals can find many pathways to success. Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff.
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Wolverine Trading Offices
OnSite Workspace
We believe that some of our best work is done working alongside each other at our Chicago headquarters. Whether we are sharing a meal prepared by our in-house culinary team or whiteboarding problems, the opportunities to collaborate are endless.
Typical time on-site:
None
