Global Alpha Researcher (GLOBAL)
This remote contractor programme gives researchers access to Trexquant’s signal-development platform. Participants investigate predictive stock-return signals and combine them into systematic portfolios.
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.
- Test medium-frequency equity signals on the provided platform
- Turn academic ideas into reproducible experiments
- Clean candidate datasets and construct predictive features
- Evaluate signal combinations and portfolio effects
What they ask for
Required
- Analytical reasoning
- Persistence in testing research ideas
- Interest in empirical signal research
- Education
- No formal qualification requirement is stated.
- Experience
- No minimum professional experience is stated.
- Markets
- equities
How to prepare
- Reproduce a published equity-signal result with realistic validation
- Build a feature dataset with documented timing
- Compare signal combinations using an out-of-sample evaluation
What to study
- Probability, Statistics and Financial Data
- Quantitative Research, Data and Backtesting
- Financial Machine Learning
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 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.