Execution Quantitative Researcher

Wolverine•Chicago, IL

3d•$100,000 - $140,000•Onsite

About The Position

Find the edge. Build the algo. Win the execution. The mission is simple: deliver best-in-class execution — for our strategies and our customers'. You’ll study market microstructure, analyze execution performance, and build models that improve how orders are routed and filled — refining both our internal algorithms and collaborating with clients to enhance theirs. This is a high-ownership role in a rapidly growing execution business. You’ll work with large trading datasets and complex market behavior to identify opportunities that improve execution quality, while helping shape the research agenda and where we invest next. Working closely with traders, sales, engineers, and researchers, you’ll turn those insights into production improvements and see the results quickly. If you enjoy applying rigorous quantitative research to real market problems and want the autonomy to shape how a business executes – we want to talk to you.

Requirements

Strong quantitative background in statistics, mathematics, computer science, or a related field
Experience working with large, complex datasets
Proficiency in Python and SQL
Strong analytical thinking and a bias toward solving real problems end-to-end
Ability to communicate findings clearly and collaborate across trading, engineering, and research teams
Experience building dashboards or visualizations (Tableau or similar) is a plus

Nice To Haves

Experience working with financial or market data
Familiarity with electronic trading or market microstructure
Background applying statistics or machine learning to real-world problems

Responsibilities

Research and model market microstructure and execution behavior
Analyze transaction costs, slippage, and fill quality across strategies and venues
Develop and refine execution algorithms — VWAP, TWAP, liquidity-seeking, and beyond
Build models to estimate market impact, fill probability, and optimal order placement
Partner with engineers to move models into production trading systems
Design Python and SQL workflows for analyzing large-scale trading datasets
Identify new areas of opportunity and drive the research direction as the business grows

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
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
In-house education team – classes and resources are offered for continuous learning opportunities
Mentorship Program through your first six months of employment