Description:
Key Responsibilities:
- Research, develop, and deploy quantitative trading strategies across agricultural and other commodity markets.
- Analyze large datasets to identify patterns, trends, and trading opportunities.
- Work closely with quantitative researchers, data scientists, and technologists to enhance strategy performance and execution efficiency.
- Manage portfolio risk and continuously refine models based on market behavior and backtesting results.
- Contribute to the enhancement of trading systems, infrastructure, and analytical tools.
Requirements:
- 5 - 8 years of professional experience in quantitative research or trading, focused on commodities (agricultural or otherwise).
- Proven track record of building and deploying mid/low-frequency quantitative strategies.
- Strong programming skills in Python or C/C++.
- Deep understanding of market dynamics, data analysis, and risk management principles.
- Collaborative mindset with the ability to work effectively in high-performing global teams.
Why Join:
- Work with some of the brightest minds in quantitative trading.
- Be part of a global, data-driven, and technology-first trading environment.
- Competitive compensation and performance-based rewards.
- Exposure to cutting-edge trading systems and infrastructure.
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