Quant jobs / Jump Trading
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
- 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
- Probability, Statistics and Financial Data
- Econometrics and Financial Time Series
- Financial Machine Learning
- Quantitative Research, Data and Backtesting
The Quantitative Researcher roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
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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