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Lead Quantitative Researcher - Systematic Commodities

JR United Kingdom

Milton Keynes

On-site

GBP 70,000 - 130,000

Full time

6 days ago
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Job summary

A multi-billion hedge fund in Milton Keynes is seeking a Lead Quantitative Researcher for their commodities desk. The successful candidate will lead strategy development, conduct alpha research, and collaborate with top software engineers to implement trading strategies effectively, aiming to optimize performance.

Qualifications

  • Experience in systematic commodities trading is essential.
  • Proven track record of alpha and Sharpe ratio of 1.5+.

Responsibilities

  • Lead a team conducting alpha research for systematic commodities strategies.
  • Collaborate with software engineering teams to implement these strategies.
  • Manage risk to optimize trading performance.

Skills

Data analysis
Risk management

Education

Bachelor's or Master's degree in Mathematics, Physics, Statistics, Computer Science

Job description

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Lead Quantitative Researcher - Systematic Commodities, milton keynes

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Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

Lead Quantitative Researcher - Systematic Commodities

A Multi-Billion Hedge fund is seeking an experienced QR to lead the strategy development and portfolio construction for their top-performing commodities desk. In this role, you will be responsible for conducting alpha research, identifying and evaluating potential alpha signals through rigorous data analysis and implementing backtested systematic strategies into production.

Responsibilities:

  • Lead a team of QRs conducting alpha research to optimize and generate high-performing systematic Commodities strategies.
  • Collaborate with the best academic minds in software engineering to implement trading strategies into production.
  • Manage risk effectively to optimize trading performance.
  • Investigate and implement new trading products and strategies.

Qualifications:

  • Experience in systematic commodities trading.
  • A strong track record of alpha and Sharpe of 1.5+
  • Bachelor's or Master's degree in a quantitative field such as Mathematics, Physics, Statistics, Computer Science, or related fields.
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