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Senior Systematic Quant Strat

Diver5ify
York, NY Full Time
POSTED ON 1/1/2026
AVAILABLE BEFORE 1/30/2026

A leading (Top Secret) global macro hedge fund is seeking a Systematic Quantitative Researcher to join its New York-based investment team.

This role focuses on the research, development, and deployment of systematic trading strategies across global macro asset classes, working closely with portfolio managers and technology teams in a highly collaborative, performance-driven environment.

The Role

  • Research and develop systematic trading strategies across macro asset classes (rates, FX, equities, commodities)
  • Design and test quantitative models using large, complex datasets
  • Conduct rigorous backtesting, validation, and performance analysis
  • Collaborate with portfolio managers to translate research into live strategies
  • Continuously improve existing models and signals through data-driven insight
  • Contribute to portfolio construction, risk management, and execution frameworks

Required Experience

  • Strong background in quantitative research, systematic trading, or statistical modeling
  • Advanced degree (PhD, MSc, or equivalent) in a quantitative discipline (e.g. Mathematics, Physics, Engineering, Computer Science, Statistics, Economics)
  • Strong programming skills in any of the following Python, C , Java, and/or C#
  • Deep understanding of time-series analysis, statistics, and machine learning techniques
  • Experience working with financial markets data and systematic investment strategies
  • Ability to operate in a fast-paced, research-intensive environment

Preferred Experience

  • Prior experience in systematic macro or multi-asset strategies
  • Knowledge of portfolio construction, optimization, and risk management
  • Familiarity with execution models and transaction cost analysis
  • Track record of translating research into production-level strategies

Why Join

  • Work at the forefront of systematic macro investing
  • High-impact role with direct influence on live trading strategies
  • Access to world-class data, infrastructure, and capital
  • Competitive compensation with strong performance-based upside

Salary : $200,000 - $300,000

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