What You'll Do:
- Conduct financial data analysis on large datasets to generate profitable trading alphas.
- Define key metrics for model validation
- Back-testing and production performance monitoring
- Contribute to in-house data analysis packages and research framework development
- Acquisition of new data sets and cleaning/maintenance of new and existing data sets.
- Contribute to futures trading technology stack architecture
What We're Looking For:
- At least 2+ years of experience generating or implementing short term trading alphas into production trading strategies
- Knowledge of CME and related market microstructure required.
- Advanced knowledge of modern statistical and machine learning techniques
- Proficiency in a scripting language such as Python, R, or MATLAB.
- Proficiency in at least one statistical package and one machine learning package in one of the above languages.
- Demonstrated experience working with tick data.
- Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, etc.
- Experience developing software systems an in object-oriented language is a plus.
Top Skills
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
Hybrid Workspace
Employees engage in a combination of remote and on-site work.