JPMorgan Corporate Investment Bank - Global Commodities 

Singapore 

674190206

J.P. Morgan is a top-tier liquidity provider in global macro markets, offering competitive pricing across commodities, FX, interest rates and credit. Within the firm we offer a full spectrum of products - from plain vanilla to exotic options; from commodities derivatives & major currencies to emerging market bonds. The Automated Trading Strategies (ATS) group drives systematic trading within this space and is responsible for algorithmic pricing, automated risk management and hedging, and intelligent order execution strategies.

Job responsibilities

• Data analysis to identify patterns and revenue opportunities
• Research to develop models and methods to solve practical trading problems
• Back testing and assessing pricing, risk management and execution strategies
• Reviewing trading performance data and making data driven decisions
• Maintaining and improving trading software systems and tools
• Expanding the group’s library of modeling, analytics, and automation tools
• Resolving day-to-day trading issues

Required qualifications, capabilities, and skills

• Minimum 1 year of experience in Commodities quantitative trading or similar roles
• Bachelor 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

Preferred qualifications, capabilities, and skills

• Foundational knowledge of statistic 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