Quant Analyst

at  CARGILL INTERNATIONAL TRADING PTE LTD

REQUIREMENTS:

• Master’s degree of PhD in a quantitative discipline such as Mathematics, Statistics, Finance, Computer Science, or Engineering.
• Strong proficiency in programming languages such as Python, R, C#, as well as experience with statistical analysis and machine learning libraries.
• Strong understanding of financial markets, instruments, and trading strategies, with a focus on quantitative modeling.
• Excellent analytical, problem-solving, and communication skills, with the ability to convey complex quantitative concepts to non-technical stakeholders.
• Ability to thrive in a fast-paced and collaborative environment, with a passion for continuous learning and innovation.

• Develop and implement quantamental trading strategies to generate alpha and optimize portfolio performance.
• Conduct quantitative research to identify and evaluate potential trading opportunities in commodity and particularly ferrous asset class.
• Conduct backtesting and performance analysis to assess the robustness and effectiveness of trading strategies.
• Develop and contribute to in-house trading strategy library
• Collaborate with book managers, Analytics team and Business Intelligence team to integrate quantitative insights into the trading models and strategies.
• Build predictive models to forecast asset prices, volatility, and other market variables.
• Develop quantitative tool and dashboard to aid book managers in developing trading intuition
• Conduct sharing session, guide and mentor junior members.