Quant jobs / Tower Research Capital
Quantitative Researcher
A researcher role on a new team at a quant trading firm, covering the full research pipeline. Location is flexible, with Hong Kong or New York preferred.
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 large datasets to test market hypotheses
- Build statistical models of instrument value and returns
- Turn models into strategies via optimisation
- Build research tools and platforms
What they ask for
Required
- Research-oriented master's or ideally PhD
- Systematic trading research experience
- Python and/or C++
- Production-quality code
- Clear communication
- Education
- Research-oriented master's or ideally PhD in maths, ML, computer science, physics or similar.
- Experience
- Experience in systematic trading research
- Languages and tools
How to prepare
- Complete an end-to-end signal research project
- Study optimisation for strategy construction
- Review statistical modelling and cross-validation
- Practise explaining research results
What to study
- Quantitative Research, Data and Backtesting
- Econometrics and Financial Time Series
- Financial Machine Learning
- Linear Algebra, Optimisation and Numerical Methods
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 Tower Research Capital’s site before applying: requirements, location and pay can change after we check them.
View the posting on Tower Research Capital’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Tower Research Capital and doesn’t handle applications.
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