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Senior Quantitative Researcher

Anson McCade
New York, NY Full Time
POSTED ON 3/4/2025
AVAILABLE BEFORE 4/2/2025

My client is a leading hedge fund based in New York, specializing in global equities and futures statistical arbitrage strategies. After strong recent performances, the team is looking to expand, with a focus on intraday systematic strategies. The team are primarily looking for a Senior Quantitative Researcher hire.


Role Overview:

The role will be part of a fast-paced, collaborative trading team that develops, tests, and implements systematic strategies for global equities and futures markets. The team trades primarily intraday strategies with a Sharpe Ratio above 3, and the role provides the opportunity to take on risk allocation and manage a portion of the team's capital.


Key Responsibilities:

  • Design, develop, and implement intraday quantitative strategies for trading global equities and futures markets.
  • Conduct in-depth research to uncover alpha signals, focusing on statistical arbitrage approaches.
  • Develop models and algorithms to optimize execution, risk management, and trade performance.
  • Collaborate with traders and other researchers to evaluate and refine trading strategies in real-time market conditions.
  • Maintain and enhance risk management frameworks to ensure that strategies are properly calibrated to market conditions.
  • Take ownership of a risk allocation, managing capital and optimizing its performance.


Required Skills & Experience:

  • Proven experience in intraday systematic strategies, preferably within equities and/or futures products.
  • Expertise in statistical arbitrage models and quantitative research techniques.
  • Strong track record of developing and deploying intraday trading strategies with Sharpe Ratios above 3.
  • Proficiency in programming languages such as Python, C , or similar for algorithmic trading.
  • Solid understanding of financial markets, trading infrastructure, and risk management.
  • A Master’s degree or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or Engineering is preferred.


What They Offer:

  • Competitive compensation with performance-based bonuses.
  • The opportunity to manage your own risk allocation, with the potential for high upside.
  • Strong growth potential in an expanding team.
  • Access to cutting-edge technology and data to support research and strategy development.

Salary : $150,000 - $175,000

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