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Jobs or company...

Quantitative Researcher - Commodities

Salary undisclosed
Checking job availability...
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A leading global hedge fund is seeking an experienced Quantitative Researcher to join their systematic commodities team in Singapore. 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.

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