Quantitative Researcher

JR United Kingdom; Shrewsbury; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading niche hedge fund in London seeks a Portfolio Manager to join their expanding systematic macro team. The role involves developing and implementing high-conviction trading strategies and requires a strong background in quantitative disciplines. Candidates should be proficient in Python and have a proven record in systematic macro trading.

Qualifications

• Strong academic background in quantitative discipline.
• Proven track record in systematic macro strategies.
• Fluency in Python; SQL/C# is advantageous.

Responsibilities

• Design and deploy systematic strategies across asset classes.
• Use statistical methods to identify inefficiencies.
• Backtest strategies on large datasets.

Skills

Programming in Python

Statistical methods

Econometrics

Machine learning

Education

Degree in Finance, Mathematics, Computer Science, Engineering, or Physics

Job description

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We are working with a boutique hedge fund in London that is expanding its systematic macro team, 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] .