Data Scientist - US Equity Options Market Making

Wolverine Trading; Chicago (IL); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

Annual discretionary bonus

Generous PTO

Medical, dental, vision, life anddisb.

401K and Roth 401K

Profit sharing

On-site gym

Free meals

Job summary

Wolverine Trading in Chicago, IL is seeking a Data Scientist to join an experienced team responsible for disseminating liquidity across US Equity Options markets. You will build and grow an analytics suite, learning market micro-structure and experiment-driven research.

The role emphasizes robust data pipelines, production testing, and clear communication with trading and engineering teams. You’ll contribute to feature ideas and data-driven improvements in a collaborative environment.

Qualifications

• 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

Responsibilities

• 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.

Skills

Quantitative background

Statistics basics (regression)

Python

OO programming

C# learning

Networking/FPGA basics

Communication skills

Tools

C#

Job description

Wolverine Trading in Chicago, IL is seeking a Data Scientist to join an experienced team responsible for disseminating liquidity across US Equity Options markets. You will build and grow an analytics suite, learning market micro-structure and experiment-driven research.

The role emphasizes robust data pipelines, production testing, and clear communication with trading and engineering teams. You’ll contribute to feature ideas and data-driven improvements in a collaborative environment.