What You'll Do
- Partner with portfolio managers to analyze, develop, and improve trading strategies and models.
- Conduct research and data analysis to support investment decisions across multiple asset classes.
- Verify, normalize, and maintain large and complex data sets.
- Build, maintain, and enhance tools, processes, and systems critical to daily desk operations.
- Assist in the development of new strategies through data mining, statistical analysis, and problem solving.
- Continuously explore ways to optimize performance, streamline processes, and identify new opportunities.
What We're Looking For
- Bachelor’s degree (or higher) in Mathematics, Statistics, Physics, Computer Science, Engineering, Finance, Economics, or a related quantitative field.
- Strong foundation in probability, statistics, and quantitative problem solving.
- Programming experience is a plus.
- Prior experience in a data-driven research environment.
- Familiarity with corporate finance, securities trading, or financial markets preferred.
- Excellent communication skills and ability to work effectively in a team environment.
- Competitive mindset
Top Skills
What the Team is Saying
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.
Gallery
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.
