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Quantitative Researcher

HAP Capital is a proprietary trading firm, based in New York.

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Quantitative Researcher

Role Description

We are currently seeking a Quantitative Researcher for the firm’s Delta One group. The group is focused on quantitative market making and arbitrage strategies in numerous derivative products around the world. Jumping between machine-driven data analysis and our thoughts, we establish meaningful relationships among financial products. Whether we’re generating, testing, or challenging our own hypotheses to create or improve complex trading strategies, we’re constantly learning and exploring new and unknown solutions.

The ideal candidate should be well-rounded, highly driven, and excited to develop creative solutions to challenging real-world trading and data science problems. Candidates should exhibit genuine interest in cutting edge developments in computer science, trading, and data science.


Responsibilities for this role include developing the group’s simulation capabilities, testing and deploying quantitative strategies and strategy improvements, and building research tools and applications. Candidates should have an utmost interest in research, as there are very limited clear or definite answers to the problems we work on. Candidates must also be passionate about solving real world problems with data involving uncertainty, generally by looking at relationships across financial assets.


  • Bachelor’s degree or higher, preferably in Computer Science, Engineering or Mathematics
  • Minimum of 1-2 years of relevant experience.
  • Excellent quantitative, problem solving and analytical skills
  • Expert level Python and strong C++ skills
  • Motivated, competitive, and eager to learn
  • Familiarity with machine learning libraries and techniques 
  • Ability to manage multiple competing priorities and thrive in a fast-paced and challenging environment  
  • Strong communication and organizational skills
  • Excellent attention to detail, accuracy and a thorough understanding of full life-cycle development and performance optimization/latency reduction methodologies.

Additional Helpful Skills

  • Team-based quantitative/automated trading experience
  • Knowledge of complex financial products and derivatives
  • Experience working with large-scale, low-latency C++ trading systems
  • Previous experience working with large scale data-platforms

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