Quantitative Researcher

JR United Kingdom; Crawley; On-site; GBP 50,000 - 90,000; Full time

Job summary

A leading hedge fund in London seeks a Quantitative Researcher to join their systematic macro team. This role involves developing and implementing strategies that drive portfolio returns. Ideal candidates will have a strong quantitative background and programming skills in Python. Join a high-performing team to make an immediate impact on trading models and market strategies.

Qualifications

• Proven track record in systematic macro strategies.
• Experience with statistical, econometric, or machine learning methods.
• Fluency in Python; knowledge of SQL and/or C# is a plus.

Responsibilities

• Design and implement systematic strategies focusing on global macro asset classes.
• Backtest strategies on large datasets ensuring robustness.
• Collaborate with engineering teams to integrate models into trading infrastructure.

Skills

Programming in Python

Statistical methods

Econometric methods

Machine learning

Education

Bachelor's degree in Finance, Mathematics, Computer Science, Engineering, or Physics

Job description

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Quantitative Researcher, Crawley, West Sussex

Client:

Location: Crawley, West Sussex, United Kingdom

Job Category: Other

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EU work permit required: Yes

Job Views: 1

Posted: 04.06.2025

Expiry Date: 19.07.2025

Job Description:

We are working with a boutique hedge fund in London that is expanding its systematic macro team, and they are looking for a Portfolio Manager. You must have a proven track record in systematic macro research or trading, particularly across futures and FX markets. This is a unique opportunity to join a high-performing team where your research and strategies will directly impact portfolio construction and returns.

The Opportunity:

• Join a systematic global macro fund focused on trading across major asset classes using futures and FX.
• Play a key role in the research and implementation of high-conviction, alpha-generating trading strategies.
• Contribute to the continued innovation and refinement of the team’s trading models using advanced quantitative techniques.
• Collaborate closely with other researchers and developers in a flat, intellectually rigorous environment.
• Take strategies from concept to live execution and performance monitoring.

Key Responsibilities:

• Design, research, and deploy systematic strategies across global macro asset classes with a focus on short- to medium-term trading horizons.
• Use statistical, econometric, or machine learning methods to identify persistent inefficiencies and develop predictive signals.
• Backtest and validate strategies on large and diverse datasets, ensuring robustness, scalability, and risk control.
• Continuously monitor and optimise existing models in response to evolving market dynamics.
• Work closely with engineering teams to integrate models into the live trading infrastructure.

Candidate Requirements:

• A strong academic background in a quantitative discipline such as Finance, Mathematics, Computer Science, Engineering, or Physics.
• Proven track record in developing and implementing successful systematic macro strategies.
• Fluency in programming languages such as Python; experience with SQL and/or C# is advantageous.
• Familiarity with short-term or intraday models is a plus.
• Must have the right to work in the UK.

If this opportunity aligns with your experience and interests, please send your CV in WORD format to [emailprotected].