Cross-Asset Quant & Research Associate

Next Frontier Capital; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

J.P. Morgan is seeking an Associate for Quantitative Trading & Research in Singapore to develop mathematical models for valuing and hedging financial products. You will collaborate with trading desks, product managers, and technology teams to create analytical tools and robust trading models.

Responsibilities include productionizing models, training workflows, real-time inference, and ensuring regulatory compliance while contributing to risk management and innovation in financial engineering.

Qualifications

• PhD in a quantitative field with research experience.
• Strong mathematical background and problem-solving skills.
• Experience with production-grade model deployment and validation.

Responsibilities

• Develop and maintain mathematical models to value and hedge financial transactions.
• Improve algorithmic trading strategies and electronic solutions for clients worldwide.
• Collaborate with risk functions to develop models for market and credit risk across lines.
• Build methodologies and infrastructure to deploy models in production environments.
• Write documentation covering model specifications and testing.
• Partner with trading desks, product managers, and technology teams to create analytical tools.
• Ensure regulatory compliance through collaboration with control functions.
• Productionize ML models, including training workflows, versioning, real-time inference, deployment, observability, rollback.

Skills

Strong quantitative skills

Python

C++/Java

Excellent communication

Independent & collaborative

Education

Ph.D. in quantitative field

Tools

Python

C++

Java

Data structures & algorithms

Job description

J.P. Morgan is seeking an Associate for Quantitative Trading & Research in Singapore to develop mathematical models for valuing and hedging financial products. You will collaborate with trading desks, product managers, and technology teams to create analytical tools and robust trading models.

Responsibilities include productionizing models, training workflows, real-time inference, and ensuring regulatory compliance while contributing to risk management and innovation in financial engineering.