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Campus Quantitative Researcher – Systematic Macro, PhD/Postdoc (Full-Time)

A research role for PhD-level scientists developing models and strategies in systematic macro at Jump. You own projects from idea to live model.

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.

  • Analyse many datasets for predictive patterns
  • Build forecasting models for systematic macro strategies
  • Own research projects end to end
  • Improve models behind live trading

What they ask for

Required

  • PhD in a quantitative field
  • Hypothesis-driven research
  • Real-world data research project
  • Python
  • Interest in machine learning in trading
Education
PhD (or currently pursuing) in statistics, maths, physics, ML or another highly quantitative field
Experience
PhD or postdoc campus hire
Languages and tools
  • Python
Markets
multi-asset

How to prepare

  • Run a macro forecasting study with strict out-of-sample testing
  • Learn the main macro asset classes and data
  • Practise ML on small noisy datasets
  • Keep a clean research log of rejected ideas

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

View the posting on Jump Trading’s site ↗

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

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