I'm currently partnered with a highly successful systematic multi-strategy hedge fund who are looking to enter the mid-frequency quant equity markets as their next stage growth. As such a key early hire for this business is a Quantitative Developer to take ownership of and build out the systems for the full investment workflow for this group from research and analytics to live trading.

As the role will involve a complete build out of the systems from the ground up the firm is seeking a candidate who has holistic experience in building research systems.

The ideal target profile is below.

  • BS/MS in Computer Science, Engineering, Mathematics, Physics, or related fields.
  • Advanced proficiency in Python with experience in modern data science tools. Familiarity with C++, R, and web frameworks (Node.js, React, etc.) is a plus.
  • 3+ years in the financial industry in a quantitative or technical role, preferably working closely with investment teams.
  • Experience with large-scale financial datasets, high-performance research workflows, and live trading systems.
  • Ability to interface effectively with investment professionals
  • Excellent problem-solving skills with a clear understanding of the business value from application of technical solutions
  • New York Location
  • PermanentJob Type
  • Competitive salary

Lead Quantitative Developer - Statistical Arbitrage

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