Algo Quant/Developer, Trading Research

About Us:
Founded more than 15 years ago and headquartered in Chicago, the DV Group of financial services firms has grown to more than 450 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.
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.
Responsibilities:

• Develop in-house trading strategies, used by both discretionary and quantitative traders.
• Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies.
• Collaborate with cross-functional teams, including portfolio managers and researchers, to design and implement solutions for the trading strategies.
• End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation.
• Maintain and improve portfolio trading in a production environment.
• Contribute to the analysis framework for scalable research.

Requirements:

• BS, MS or PhD in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics.
• A minimum of 3 years of experience in trade execution development or research for futures or cash equities.
• Proficiency in programming languages such as Python or C++.
• Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus.
• Experience with signal blending and portfolio construction.
• Highly motivated, willing to take ownership of his/her work.
• Collaborative mindset with strong independent research abilities.
• Commitment to the highest ethical standards.

Annual compensation range $150-200K base + discretionary bonus.

DV is not accepting unsolicited resumes from search firms. Only search firms with valid, written agreements with DV should submit resumes in response to DV’s posted positions. All resumes submitted by search firms to DV via e-mail, the Internet, personal delivery, facsimile, or any other method without a valid written agreement shall be deemed the sole property of DV, and no fee will be paid in the event the candidate is hired by DV. DV is proud to be an equal opportunity employer and committed to creating an inclusive environment for all employees.