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Senior Quant Researcher
Senior Quant Researcher
About Us
Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 350 people operating throughout North America and in Europe. Since spinning out of a large brokerage firm in 2016, DV Trading has rapidly scaled as an independent proprietary trading firm utilizing its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users. Now, DV group affiliates include two broker dealers, a cryptocurrency market making firm, and a bourgeoning investment adviser.
We invest in exceptional individuals and empower them to realize their goals and make a lasting positive impact on our organization. Engaging a diverse group of talented people from different cultural, socioeconomic, and educational backgrounds helps provide us with a competitive advantage that drives our success.
DV Energy is a rapidly growing division that specializes in trading crude oil, refined products, natural gas, and related energy markets across US, Europe, and Asia. Our proprietary risk management and trading methodologies along with a strong ability to adapt to changing conditions has allowed DV Energy to grow into one of the largest financial participants within the global energy complex.
How you will make an impact
Job Responsibility
- Create predictive models utilizing financial data through statistical analysis methods
- Optimize the order execution and risk management of our trading system
- Create robust solutions to problems presented in the trading environment
- Develop research strategies into production software
- Formulate and apply mathematical modeling techniques to enhance existing trading strategies and perform innovative new research with the goal of identifying and capturing trading opportunities
Requirements
- A degree in a technical discipline with a focus on statistics, machine learning, or computer science
- Experience and knowledge working with energy markets
- Experience handling large data sets
- Expertise in Python
- Significant hands-on experience applying algorithms to real world situations
- Strong problem-solving and statistics skills
- The proactive ability to take the lead on assignments and deliver practical research results in a timely manner