Quantitative Analyst

Wolverine Asset Management is seeking highly motivated and intellectually curious individuals to join our team as Quantitative Analysts. In this role, you will collaborate closely with our relative value arbitrage strategy portfolio management teams. Analysts at Wolverine play a critical role in developing, enhancing, and supporting the systems, models, and research that drive our investment decisions. This is an exciting opportunity to contribute to a fast-paced, performance-driven environment with strong potential for growth and impact.

• 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
  

• 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
  

Base salary is $70,000 - $110,000. Base salary is only one part of Wolverine Trading total compensation, which includes an annual discretionary bonus.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.