Quant jobs / Trexquant

Quantitative Researcher - Futures (USA)

Trexquant’s futures researchers develop forecasting signals and quantitative trading models. The role combines empirical model research with risk-aware strategy evaluation.

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.

Extract futures predictors from financial datasets
Test hypotheses through historical trading simulations
Incorporate new datasets into forecasting models
Evaluate research papers for practical strategy improvements

What they ask for

Required

Two or more years of quantitative research
Python
Statistical modelling
Machine-learning interest
Quantitative problem-solving

Preferred

Futures-market research

Education: STEM qualification at bachelor, master or doctoral level.
Experience: 2+ years of quantitative research; futures-market experience is preferred.
Languages and tools: Python
Markets: futures

How to prepare

Build a futures research dataset with explicit contract-roll treatment
Evaluate a forecast through out-of-sample trading results
Explain how new features improve a strategy after costs

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

View the posting on Trexquant’s site ↗

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