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Quant researcher - equities systematic trading - hedge fund

Gloucester
Tempest Vane Partners
Trader
Posted: 24 April
Offer description

The Client

My client is a dynamic and fast moving Systematic Trading business headquartered in Mayfair, London. Their focus has traditionally been on low and mid-frequency Systematic Futures, FX & Rates, however they are now looking to expand their research into the Equities space.


They are looking for a strong Quantitative Researcher with in-depth experience of Systematic Equities.


What You'll Get

* An opportunity to work in one of the most exciting Systematic trading businesses in the City.
* An opportunity to join a strong team with a very high talent density presenting lots of opportunity for learning and development.
* Incredible career progression opportunities with potential access to all areas of the business.
* A market leading compensation package including generous basic salary and annual bonus.
* Benefits including pension, private healthcare, life assurance and 25 days vacation.


What You'll Do

* Conduct in-depth quantitative research to develop and enhance systematic equity strategies.
* Analyse large, complex datasets to identify predictive signals and market inefficiencies.
* Design, test, and validate alpha models using robust statistical and machine learning techniques.
* Collaborate with portfolio managers and engineers to implement strategies into production.
* Monitor and evaluate model performance, ensuring robustness and scalability.
* Stay current with academic research and industry developments in quantitative finance and equities markets.


What You'll Need

* A Masters or PhD from a top-tier university in Mathematics, Statistics, Computer Science, or equivalent STEM degree.
* Solid experience in Equities Systematic Trading.
* Solid track record of trade idea generation, original research and strategy development.
* Proficiency in back-testing, simulation, and statistical techniques.
* Experience working with large datasets and data analysis tools.
* Strong programming skills in Python and/or C++.

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