Quant Researcher

Man Group•Boston, NY
•$120,000 - $130,000

About The Position

Develop and improve quantitative investment strategies in equity markets within the Strategic Alpha Research team (SAR). Work across the full research lifecycle, from idea generation and data sourcing through signal construction and testing to portfolio construction and trade execution, supporting both new and existing strategies. Research may cover implementation aspects such as trading cost models, risk models, optimization, and portfolio construction.

Requirements

  • Advanced degree in Computer Science, Statistics, Mathematics, Finance/Economics, or a related quantitative field.
  • Passion for investment research, strong intuition, out-of-the-box thinking, a track record of original research, and demonstrated problem-solving ability.
  • Excellent quantitative skills grounded in econometrics or statistics, with extensive experience applying them in empirical research.
  • Strong programming skills; Python is preferred. Comfortable analyzing large and complex data with statistical tools.
  • Confident communication skills, including the ability to explain complex ideas clearly, and good interpersonal skills for working with the team.
  • Self-organized and able to manage multiple projects and competing priorities.
  • At least 3 years of research experience.

Nice To Haves

  • Prior experience in the investment field.
  • Hands-on experience across the full quantitative alpha lifecycle, including data analysis, signal construction, monetization, and live trading.
  • Practical experience applying complex data modeling, machine learning, or LLM/AI techniques to real investment problems.

Responsibilities

  • Identify new investment ideas and innovative data sources.
  • Source, gather, and refine complex data for modeling.
  • Code and perform statistical or machine-learning analysis to build, test, and refine predictive models.
  • Interpret, present, and implement research results.
  • Conduct research on investment-strategy implementation, including trading cost models, risk models, optimization, and portfolio construction.

Benefits

  • Discretionary bonus.
  • Flexible working arrangements.
  • Two annual paid 'Mankind' days for community volunteering.
  • Competitive holiday entitlements.
  • Pension/401(k).
  • Life and long-term disability coverage.
  • Group sick pay.
  • Enhanced parental leave.
  • Long-service leave.
  • Depending on location, private medical coverage, discounted gym membership options, and pet insurance.
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