Quantitative Trading Researcher
3 weeks ago
DV Trading is a leading proprietary trading firm that utilizes its own capital, trading strategies, and risk management methodologies to provide liquidity to worldwide financial markets and hedging opportunities to commodity producers and users.
Our firm has grown to become one of the largest financial participants within the global energy complex, with a strong ability to adapt to changing conditions.
Key Responsibilities:
Develop in-house trading strategies used by both discretionary and quantitative traders.
Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithms and identify market anomalies.
Collaborate with cross-functional teams to design and implement solutions for 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 work.
Collaborative mindset with strong independent research abilities.
Commitment to the highest ethical standards.
Annual compensation range $150-200K base + discretionary bonus.
DV Trading is an equal opportunity employer and committed to creating an inclusive environment for all employees.
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