Quantitative Trading & Research - Commodities Quantitative Trading – Analyst
The analyst will design and implement algorithmic order execution strategies, back‑test models and signals, and collaborate with technology teams to build low‑latency trading tools. The role focuses on quantitative research, statistical analysis, and software development to drive revenue in the commodities trading desk.
Skills required
About this role
The Quantitative Trading & Research group is a cross-asset front-office team working on the JP Morgan trading floor here in Singapore, looking for an Analyst to join the team. You will join one of the biggest electronic trading franchises, with a primary focus on the algorithmic order execution across macro.
As an Analyst, you will work in in a dynamic and rewarding environment to identify and design algorithmic trading solutions for clients’ needs, drive revenue and expand the business. You will cover a wide range of responsibilities, including designing trading and execution strategies, researching micro-patterns and trends, building applications and tools, and supporting day-to-day operations.
Job Responsibilities
- Design and implement algorithmic orders to execute on behalf of clients.
- Formulate, analyse and back-test strategies, models, and signals.
- Collaborate with technology to develop cutting-edge low-latency infrastructure that meets business needs in a scalable manner.
- Perform statistical analysis of algorithmic order execution to drive iterative improvements.
- Develop real-time and post-trade transaction cost analysis models to optimize the algorithmic execution.
Required Qualifications, Capabilities, and Skills
- Bachelor's degree in Engineering, Mathematics, Physics, Computer Science, or equivalent.
- At least 1 year of experience
- Strong programming skills in Java/C++ or any other object-oriented languages.
- Oriented towards careful system design and implementation.
- Excellent verbal and written communication skills for frequent interaction with Clients, and different teams, including Voice Trading, Sales, Product, Research and Technology.
- Highly motivated, attention to detail, adaptable, and eager to learn.
Preferred Qualifications, Capabilities, and Skills
- Good knowledge of statistics and/or machine learning.
- Interest in quantitative systematic trading across asset classes.
- Strategic and creative thinking when faced with problems and opportunities, eager to explore and learn.
- Any experience in Commodities, and/or Rates markets, or familiarity with trading concepts and terminology is useful but not essential.
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