Data Science Intern (Summer 2020) at Wolverine Trading
If you want to understand the data of modern markets at the deepest level and dive into quantitative trading, the data science research internship is right for you. Wolverine is offering the opportunity to work in a highly collaborative and dynamic environment where you’ll get exposure to our algorithmic trading and execution systems. Data Scientists work with traders and engineers to develop, test, and implement statistical models and algorithmic trading systems that drive every aspect of Wolverine’s business. Wolverine seeks intelligent and creative individuals who will apply their mathematical and programming skills to complex big data and time series problems.
What You’ll Do
As a summer intern, you will work on multiple ML, statistics, and data engineering projects using our cutting-edge cluster computing technology and A/B testing environments. You will perform huge data analysis on our algorithms, and have the opportunity to propose actionable changes to fully automated trading systems. You will gain experience with options pricing and equities trading strategies while learning how we approach significance testing, parameter tuning, outlier analysis, and algorithmic optimizations. Our team oversees thousands of data sources and the algorithms that convert these data into actionable insights for our trading strategies. Wolverine provides classroom education, hands-on training, and mock trading. Wolverine also provides fully furnished apartments that are located close to the office, making your morning commute quick and easy. Additionally, Wolverine will host several social activities throughout the summer to ensure an optimal work-life balance.
What We Look For
- Working toward a degree in statistics, computer science, mathematics, or another highly quantitative field and have an expected graduation date between December 2020 and June 2021.
- History of academic excellence.
- Demonstrated interest in trading, financial markets, and technology, but experience or knowledge of finance not required.
- Excellent quantitative and problem-solving skills.
- Entrepreneurial and self-motivated.
- Strong communication skills.
- Desire to work in a team environment.
- 3-month commitment.
- Experience in Python.
- Strong background in classical statistics and machine learning preferred.
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 offices in New York and San Francisco and a proprietary trading affiliate office located in London.
Sponsorship is not available for this position.