Systematic Quant Intern - PhD

Man Group•Massachusetts, MA

About The Position

Join Man Systematic’s Quant Intern Program in summer 2027, working alongside the Systematic Quantitative Research team. The position is within the Strategic Alpha Research team (SAR) and focuses on developing and improving quantitative investment strategies in equity markets. You will work across the full research lifecycle, from idea generation and data sourcing through signal construction and testing, portfolio construction, and trade execution, supporting both new and existing strategies. The role also contributes to broader research through collaboration with adjacent teams, including fixed income and macro.

Requirements

  • PhD degree in Computer Science, Statistics, Mathematics, Finance/Economics, or a related quantitative field.
  • Passion for investment research, strong intuition, and ability to think outside the box, with a track record of original research and demonstrated problem-solving ability.
  • Excellent quantitative skills grounded in econometrics or statistics, with extensive experience applying those skills in empirical research.
  • Strong programming skills; Python is preferred.
  • Comfort analyzing large and complex data with statistical tools.
  • Confident communication skills, including the ability to communicate complex ideas clearly, and interpersonal skills to work collaboratively with the team.
  • Self-organization and ability to manage multiple projects and competing priorities.

Nice To Haves

  • Prior experience in the investment field.
  • Experience applying complex data modeling, machine-learning, or LLM/AI techniques.

Responsibilities

  • Identify new investment ideas and innovative data sources.
  • Source, gather, and refine complex data for modeling.
  • Code and perform statistical and machine-learning analysis to build, test, and refine predictive models.
  • Interpret, present, and implement research results.
  • Research investment-strategy implementation topics, including trading cost models, risk models, optimization, and portfolio construction.
  • Collaborate with adjacent research teams, such as fixed income and macro, to share techniques, data, and insights.

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.
  • Professional development opportunities.
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