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Quant Researcher – Strategic Alpha Research

A researcher role in Man Group's Strategic Alpha Research team, working on equity strategies end to end. It runs from data ideas to signals and execution.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

  • Find new ideas and data sources for equity strategies
  • Gather and clean data for modelling
  • Build and test predictive models with statistics and ML
  • Research trading cost models, risk models and optimisation
  • Share methods with fixed-income and macro research teams

What they ask for

Required

  • Advanced degree in computer science, statistics, maths or finance
  • Three years or more of research experience
  • Econometrics or statistics for empirical work
  • Strong programming, Python preferred
  • Original research ability
  • Clear communication

Preferred

  • Full alpha lifecycle experience
  • Applying complex modelling, ML or LLMs to investment problems
Education
Advanced degree in computer science, statistics, maths, finance or economics
Experience
3+ years in research; investment experience not required
Languages and tools
  • Python
Markets
equities

How to prepare

  • Replicate an equity factor and test it with trading costs
  • Practise econometrics for panel data
  • Study portfolio construction with transaction costs
  • Try ML or LLM features on equity data

What to study

The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on Man Group’s site before applying: requirements, location and pay can change after we check them.

View the posting on Man Group’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Man Group and doesn’t handle applications.

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