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As a Quantitative ML Researcher, you will enhance trading models using machine learning, analyze tick data, and collaborate with teams to optimize strategies.
Wolverine is seeking a passionate and innovative Quantitative Researcher to join our team and help build our machine learning research effort. In this role, you will apply cutting-edge machine learning techniques to train and refine sophisticated pricing and trading models. You’ll work at the intersection of data science and financial markets, collaborating closely with quantitative researchers, software developers, hardware engineers, and traders to bring ideas from research to production. This is a unique opportunity to tackle challenging, real-world problems with a direct impact on trading performance in a fast-paced, collaborative environment. You'll also have the chance to apply your curiosity and insights to discover new alphas that enhance existing strategies or lay the foundation for new ones. We value grit, curiosity, and the ability to push boundaries—making this an exceptional opportunity for someone eager to shape the direction of our research and make a lasting impact on the firm’s success.
What You'll Do:
- Gain an understanding of our current suite of models, algorithms, and alpha research efforts to start the process of improving upon our parameterization techniques using machine learning models
- Find innovative ways to monetize existing algorithms through specific deep-dives and broad data analysis
- Take ownership of our machine learning efforts to increase profitability of our trading strategies
- Advise our tick data processing and storage team to advance the data processing and storage architecture and increase the effectiveness of our analysis systems through machine learning
- Collaborate with other quantitative researchers and traders to investigate and bring new alphas to production
What We’re Looking For:
- At least 3 years of experience using machine learning to parameterize and optimize real time systems
- Degree in a quantitative discipline such as Statistics, Computer Science, Mathematics, Engineering, etc.
- 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
- Experience developing software systems an in object-oriented language is a plus.
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Why Wolverine?
Wolverine Culture:
Our flat organizational structure promotes teamwork across the Firm and offers easy access to senior staff (don't worry, they won't be wearing a suit either). While we work exceptionally well as a team in the office, our bonds are further strengthened through company events, activities and giving back. Volleyball, soccer, hockey, 5K runs, picnic, parties, and trivia nights provide friendly competition and build better relationships. By getting out of our usual environment and doing out-of-the-ordinary things together, we foster creativity and broaden our imaginations to accomplish new challenges.
Wolverine 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
Perks of being at Wolverine:
· 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
Professional Development:
· In-house education team – classes and resources are offered for continuous learning opportunities
· Mentorship Program through your first six months of employment
About Us:
Founded in 1994, 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. With a focus on innovation, achievement, and integrity, we take pride in serving the interests of both our clients and colleagues. The Wolverine companies are headquartered in Chicago with an office in New York and a proprietary trading affiliate office located in London.
Top Skills
Machine Learning
Matlab
Python
R
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