Quantitative Researcher - Commodities

JR United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is on the lookout for a skilled Quantitative Researcher to enhance their systematic commodities team in London. This pivotal role involves developing and optimizing mid-frequency trading strategies across diverse global commodity markets. You will collaborate closely with seasoned professionals to innovate and refine trading models, focusing on alpha generation and strategy implementation. If you thrive in a dynamic environment and are passionate about algorithmic trading, this is the perfect opportunity to make a significant impact in the field.

Qualifications

• Advanced academic qualifications in a quantitative field like Mathematics or Computer Science.
• Proven experience in generating alpha within commodity markets.

Responsibilities

• Design and optimize mid-frequency trading strategies for commodities.
• Collaborate with PM on alpha generation and portfolio construction.

Skills

Quantitative Analysis

Algorithmic Trading

Python Programming

Machine Learning

Statistical Modeling

Education

Master's in Mathematics

PhD in Statistics

Tools

Python

Statistical Software

Job description

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Quantitative Researcher - Commodities, london

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Client:

Location:

london, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

28.04.2025

Expiry Date:

12.06.2025

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Job Description:

A leading global hedge fund is seeking an experienced Quantitative Researcher to join their systematic commodities team in London. This role will focus on mid-frequency trading, with responsibility for the design, implementation, and optimization of advanced trading strategies across global commodity markets.

Responsibilities:

• Design, implement, and optimize mid-frequency algorithmic trading strategies for commodity markets including energy, metals and ags.
• Work alongside the PM with a focus on alpha generation, model implementation, backtesting and portfolio construction.
• Work closely with leading quantitative researchers and engineers to improve existing strategies and identify new trading opportunities.

Qualifications:

• Advanced academic qualifications (Master's/PhD) in a quantitative field, such as Mathematics, Physics, Statistics, Computer Science, or a related discipline.
• Proven experience in generating alpha and developing high-performing strategies within commodity markets
• Strong background in quantitative trading, with specific expertise in mid-frequency commodity strategies.
• Extensive proficiency in programming languages including Python
• Deep expertise in machine learning techniques and tools, with a focus on their application in strategy development and optimisation.

This position offers an exceptional opportunity for a seasoned quantitative researcher to make a significant impact within mid-frequency commodity markets. If you are driven by the pursuit of innovation in algorithmic trading and are looking for a challenging, high-impact role, we invite you to apply.