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Commercial and Investment Bank - Global Commodities - Automated Trading Strategies - Associate
Salary undisclosed
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Original
Simplified
- Analyze data to identify patterns and revenue opportunities
- Conduct research to develop models and methods for trading problems
- Back test and assess pricing, risk management, and execution strategies
- Review trading performance data and make data-driven decisions
- Maintain and improve trading software systems and tools
- Expand the group's library of modeling, analytics, and automation tools
- Resolve day-to-day trading issues
- 3 years of experience in Commodities quantitative trading or similar roles
- Bachelor's degree in computer science, mathematics, physics, engineering, or other quantitative fields
- Strong programming skills in Java/C++ or other object-oriented languages
- Excellent research skills
- Attention to detail, adaptable, driven, and collaborative
- Strong interest in markets and systematic trading
- Foundational knowledge of statistics and data analysis techniques
- Interest or experience in market microstructure and systematic trading
- Knowledge of order types, L2 market data, and central limit order books
- Experience with KDB+/q and Python
- Analyze data to identify patterns and revenue opportunities
- Conduct research to develop models and methods for trading problems
- Back test and assess pricing, risk management, and execution strategies
- Review trading performance data and make data-driven decisions
- Maintain and improve trading software systems and tools
- Expand the group's library of modeling, analytics, and automation tools
- Resolve day-to-day trading issues
- 3 years of experience in Commodities quantitative trading or similar roles
- Bachelor's degree in computer science, mathematics, physics, engineering, or other quantitative fields
- Strong programming skills in Java/C++ or other object-oriented languages
- Excellent research skills
- Attention to detail, adaptable, driven, and collaborative
- Strong interest in markets and systematic trading
- Foundational knowledge of statistics and data analysis techniques
- Interest or experience in market microstructure and systematic trading
- Knowledge of order types, L2 market data, and central limit order books
- Experience with KDB+/q and Python