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Quantitative Trader/Researcher

5 months ago

New York NY United States Selby Jennings Full time

Join a globally recognized high-frequency trading (HFT) firm that specializes in cash equities and futures. Our client is renowned for its cutting-edge technology and unparalleled expertise in navigating the fast-paced world of financial markets. NYC, CHI, CA, or Remote

Position Overview:
We are currently seeking exceptional Quantitative Traders and Researchers to join our client's HFT team. In this role, you will have the opportunity to work with some of the brightest minds in the industry and contribute to the development and implementation of innovative trading strategies focused on cash equities and futures markets. This is a unique opportunity for individuals who thrive in a dynamic environment and are driven to push the boundaries of what's possible in high-frequency trading.

**Key Responsibilities:**

  • Collaborate with research teams to develop and optimize high-frequency trading strategies tailored to cash equities and futures markets.
  • Utilize advanced quantitative techniques and mathematical modeling to analyze market data and identify profitable trading opportunities.
  • Implement and maintain trading algorithms within a high-performance computing environment, ensuring optimal execution and risk management.
  • Monitor market conditions and algorithm performance in real-time, making adjustments as needed to adapt to changing market dynamics.
  • Stay abreast of industry trends, regulatory developments, and technological advancements to enhance trading strategies and maintain a competitive edge.

What you will do:

  • Improve current and create new fully systematic futures strategies
  • Deploy, run, and manage strategies + performance
  • Work with development team to optimize strategies and tools
  • Collaborate with other traders and researchers to maximize the platforms reach and returns

Who you are:

  • 3+ years in the prop trading space (ideally within futures)
  • Experience putting on and managing risk
  • Strong programming ability in Python (C++ is a plus)