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Quantitative Analyst (Family Office)

PeopleSearch recruits for an unnamed family office. The researcher develops systematic models, portfolio analytics and alpha signals across its diversified investments.

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.

  • Research predictive signals.
  • Optimise portfolios and evaluate risk.
  • Test alternative datasets.

What they ask for

Required

  • Python
  • Statistical modelling
  • Financial markets
  • Portfolio construction
  • Communication

Preferred

  • Additional programming languages
Education
Relevant quantitative bachelor’s qualification or higher required.
Experience
Three to eight-plus relevant years requested.
Languages and tools
  • Python
  • R
  • MATLAB
  • C++
  • SQL
Markets
equities, fixed-income, fx, commodities, crypto

How to prepare

  • Validate a multi-asset signal.
  • Analyse factor exposures.
  • Test portfolio optimisation constraints.

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 PeopleSearch’s site before applying: requirements, location and pay can change after we check them.

View the posting on PeopleSearch’s site ↗

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

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