Quantitative Researcher
CV-LibraryEC1A, Clerkenwell, Greater LondonpermanentPosted: 22 June 2026
Apply NowQuantitative Researcher – Global Trading Firm (City of London)
Our client, a global trading company based in the City of London, is seeking a talented Quantitative Researcher to join a high‑performing team developing cutting‑edge quantitative models and trading strategies. This is an opportunity to work within a globally recognised group, contributing to research that directly impacts trading performance and long‑term strategy.
You’ll work across statistical techniques, large‑scale data sets, NLP, machine learning, and trading‑focused research, with strong exposure to senior quants and exceptional growth potential.
Key Responsibilities
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Develop and enhance quantitative models and trading strategies
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Apply advanced statistical techniques including time‑series analysis, pattern recognition, ML and NLP
*
Work with large, complex data sets to identify signals, trends, and anomalies
*
Build, test, and optimise algorithms for research and trading
*
Collaborate with global teams across research, engineering, and trading
Key Skills & Experience
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Strong proficiency in probability, statistics, time‑series analysis, ML, pattern recognition, NLP
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Advanced academic background in Mathematics, Statistics, Physics, Computer Science, or related discipline
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Experience in a data‑driven research environment
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Hands‑on programming experience in Python
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Familiarity with analytical packages such as R and MATLAB
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Experience with compiled languages such as C++
*
Demonstrated analytical problem‑solving ability
*
Ability to design, test, and refine algorithms for large‑scale data analysis and error‑checking
If you’re interested in this excellent opportunity, please send your latest CV
Our client, a global trading company based in the City of London, is seeking a talented Quantitative Researcher to join a high‑performing team developing cutting‑edge quantitative models and trading strategies. This is an opportunity to work within a globally recognised group, contributing to research that directly impacts trading performance and long‑term strategy.
You’ll work across statistical techniques, large‑scale data sets, NLP, machine learning, and trading‑focused research, with strong exposure to senior quants and exceptional growth potential.
Key Responsibilities
*
Develop and enhance quantitative models and trading strategies
*
Apply advanced statistical techniques including time‑series analysis, pattern recognition, ML and NLP
*
Work with large, complex data sets to identify signals, trends, and anomalies
*
Build, test, and optimise algorithms for research and trading
*
Collaborate with global teams across research, engineering, and trading
Key Skills & Experience
*
Strong proficiency in probability, statistics, time‑series analysis, ML, pattern recognition, NLP
*
Advanced academic background in Mathematics, Statistics, Physics, Computer Science, or related discipline
*
Experience in a data‑driven research environment
*
Hands‑on programming experience in Python
*
Familiarity with analytical packages such as R and MATLAB
*
Experience with compiled languages such as C++
*
Demonstrated analytical problem‑solving ability
*
Ability to design, test, and refine algorithms for large‑scale data analysis and error‑checking
If you’re interested in this excellent opportunity, please send your latest CV