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Full time
Technology
AM
Quantitative Researcher
Anson McCadeLondon🇬🇧United KingdomPosted 17 Aug 2026
Why This Role Stands Out
This on-site Quantitative Researcher role offers an exceptional opportunity to drive innovation within a leading global investment management firm, with a competitive salary of £120,000. You'll thrive if you have a strong quantitative background and a passion for rigorous research and end-to-end strategy development, contributing to cutting-edge technology and data-driven strategies. Apply now to join a world-class team and advance your career in a dynamic financial environment.
Quick Overview
Salary
£120k/yr
Work Type
On Site
Schedule
Full Time
Level
Mid Senior
Job Description
£200k+ GBP
Strong PnL linked bonuses
Onsite WORKING
Location: Singapore, Hong Kong, New York, Paris, Zurich, Central London, Greater London - United Kingdom Type: Permanent
Quantitative Researcher
My Client is a multi-strategy hedge fund with offices across New York, London, Hong Kong and Singapore. The firm is hiring Quantitative Researchers for an Equity/Futures team based in London, and are targeting profiles with prior experience using Machine Learning to generate alpha in liquid markets.
Responsibilities:
Strong PnL linked bonuses
Onsite WORKING
Location: Singapore, Hong Kong, New York, Paris, Zurich, Central London, Greater London - United Kingdom Type: Permanent
Quantitative Researcher
My Client is a multi-strategy hedge fund with offices across New York, London, Hong Kong and Singapore. The firm is hiring Quantitative Researchers for an Equity/Futures team based in London, and are targeting profiles with prior experience using Machine Learning to generate alpha in liquid markets.
Responsibilities:
- Develop predictive features from HFT/intraday market data and alternative dat
- Develop research pipelines for tree-based models, deep learning, NLP and related model
- Design ML-driven alphas for cash equities and future
- Collaborate with other researchers and developers to implement signals, and optimise performance in live tradin
- Use academic advancements in Machine Learning to develop and implement novel approaches to research.
- A master's or PhD from a top-tier university in a quantitative discipline such as computer science, statistics, etc
- 5+ years of alpha research at a leading firm.
- Experience in tree-based models, deep learning, LLMs/NLP, and a strong experience of overfitting-control
- Expert-level Python, C++ experience is preferred but not required
Skills
Machine Learning
NLP
Deep Learning
C++
Python
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