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Junior Quantitative Researcher

Anson McCadeLondon🇬🇧United KingdomPosted 13 Oct 2026

Why This Role Stands Out

This exceptional opportunity offers you the chance to develop cutting-edge quantitative trading strategies at a globally recognized hedge fund with a decade of success, supported by state-of-the-art infrastructure. You will thrive here if you possess a strong quantitative background and programming skills, eager to contribute to a highly interdisciplinary team in a rewarding, on-site role.

Quick Overview

Salary
£120k/yr
Seniority
Junior
Employment type
Full Time
Work mode
On Site
Location
London, United Kingdom
Posted
1 week ago
C++Python

Job Description

£120,000 GBP
+ £70,000
Onsite WORKING
Location: Central London, Greater London - United Kingdom Type: Permanent
About the Firm
Our client is a global quantitative hedge fund with an established track record of successfully developing and executing systematic trading strategies for more than a decade. Originally spun out as a hedge fund, the firm now operates internationally and brings together expertise across quantitative research, trading, and technology.
The firm operates sophisticated, high-performance trading infrastructure designed to support significant trading volumes across multiple markets and asset classes.
The Role
As a Quantitative Trader, you will work within the firm's automated trading framework to research, develop, and implement systematic trading strategies.
Key responsibilities include:
  • Researching and implementing systematic trading strategies using the firm's automated trading infrastructure.
  • Applying advanced statistical techniques to analyse large datasets and identify potential trading opportunities.
  • Developing a strong understanding of market microstructure, exchange mechanics, and the characteristics of different asset classes.
  • Conducting pre-market checks to ensure that all required data, systems, and processes are functioning correctly.
  • Monitoring the behaviour and performance of trading strategies throughout the trading day.
  • Working closely with colleagues across quantitative research, trading, and technology teams globally.
Ideal Candidate
The successful candidate will have a strong quantitative background, ideally with a Master's or PhD in a relevant discipline such as:
  • Mathematics
  • Statistics
  • Econometrics
  • Financial Engineering
  • Operations Research
  • Computer Science
  • Physics
You should also have:
  • Strong programming skills in at least one major programming or scripting language, preferably Python, C++, or R.
  • A strong interest in quantitative trading and systematic strategies.
  • The ability to analyse data using statistical and quantitative techniques.
  • Excellent communication and collaboration skills, particularly when working with colleagues across different regions.
  • The ability to perform effectively in a fast-paced, high-pressure environment.
  • Strong attention to detail and a methodical approach to problem-solving.

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