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