Quantitative Researcher, Commodities — Trading & Models

Fairygodboss; Singapore; On-site; SGD 200,000 - 320,000; Full time

Job summary

J.P. Morgan is seeking a Quantitative Research Associate to join the Quantitative Research team. You will develop and maintain sophisticated mathematical models, collaborating with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models.

The role emphasizes exposure to cutting-edge methodologies, regulatory compliance, and ongoing professional development within a global financial engineering environment.

Qualifications

• Ph.D or Master's degree in financial engineering, computer science, mathematics, statistics or related quantitative fields.
• 2 years of experience in a quantitative/analytical role.
• Strong quantitative and analytical skills with solid mathematical background.

Responsibilities

• Develop and maintain mathematical models to value and hedge financial transactions, from vanilla products to complex derivatives.
• Improve algorithmic trading strategies and promote advanced electronic solutions for clients worldwide.
• Collaborate with risk functions to develop models for market and credit risk across business lines.
• Write clear documentation covering model specifications and testing.
• Partner with trading desks, product managers, and technology teams to create analytical tools.

Skills

Quantitative analysis

Problem solving

Team collaboration

Verbal communication

Python

C++/Java

Data structures

Education

Ph.D or Master's in quantitative field

Tools

C++

Java

Python

Job description

J.P. Morgan is seeking a Quantitative Research Associate to join the Quantitative Research team. You will develop and maintain sophisticated mathematical models, collaborating with trading desks, product managers, and technology teams to create analytical tools and quantitative trading models.

The role emphasizes exposure to cutting-edge methodologies, regulatory compliance, and ongoing professional development within a global financial engineering environment.