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Quantitative Researcher - Systematic Equities

Selby JenningsManhattan, NY🇺🇸United StatesPosted 28 Aug 2026

Why This Role Stands Out

As an early member of a new systematic equities research team at a global multi-strategy investment firm, you'll have significant influence in building out a platform and developing alpha strategies. This hybrid role offers end-to-end ownership of the research lifecycle, working at the intersection of quantitative research, machine learning, and portfolio construction. You'll thrive here if you are ambitious, entrepreneurial, and eager to take on increasing responsibility in a collaborative environment.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Manhattan, NY, United States
Posted
1 week ago
Machine LearningC++Python

Job Description

We are currently partnered with a leading multi-manager hedge fund, who is seeking a Quantitative Researcher to join a systematic equities team in New York. This individual will be responsible for researching, developing, and enhancing alpha-generating investment strategies, working closely with portfolio managers, researchers, and technologists in a highly collaborative environment.

Responsibilities

  • Research and develop systematic equity investment strategies
  • Analyze large, complex datasets to identify predictive signals and market inefficiencies
  • Apply statistical and machine learning techniques to investment research
  • Partner with portfolio managers and technology teams to implement research ideas
  • Evaluate strategy performance and identify opportunities for improvement
  • Explore and assess new datasets and alternative data sources

Requirements

  • Advanced degree in Mathematics, Statistics, Physics, Computer Science, Engineering, or a related quantitative field
  • Strong programming skills in Python and/or C++
  • Deep understanding of statistics, machine learning, and data analysis
  • Experience conducting quantitative research in financial markets or a comparable research-intensive environment
  • Strong problem-solving and communication skills

Preferred

  • Prior experience researching systematic equities strategies
  • Exposure to alternative data and large-scale research environments
  • Demonstrated track record of developing predictive models

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