Quantitative Researcher - Commodities

Algo Capital Group; Sydney; On-site; AUD 100,000 - 120,000; Full time

Job summary

A leading global hedge fund is looking for an experienced Quantitative Researcher in Sydney. The role involves designing and optimizing trading strategies in commodity markets. Ideal candidates will have advanced degrees and strong quantitative skills, particularly in machine learning and programming.

Qualifications

• Proven experience in generating alpha and developing high-performing strategies.
• Strong background in quantitative trading with expertise in mid-frequency strategies.

Responsibilities

• Design, implement, and optimize mid-frequency algorithmic trading strategies.
• Work alongside PM focusing on alpha generation and model implementation.

Skills

Programming

Machine Learning

Education

Master's/PhD in Mathematics

Master's/PhD in Physics

Master's/PhD in Statistics

Master's/PhD in Computer Science

Tools

Python

Job description

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A leading global hedge fund is seeking an experienced Quantitative Researcher to join their systematic commodities team in Sydney. 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, power, 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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance, Research, and Engineering

• Industries

  Financial Services, Investment Management, and Capital Markets

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