Quantitative Trading & Research Analyst - Python/C++ Innovation

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

Job summary

J.P. Morgan in Singapore is seeking an Analyst in the Quantitative Trading & Research team to develop and maintain sophisticated mathematical models and analytical tools. You will collaborate with trading desks, product managers, and technology teams to drive performance and manage risk.

Expect on-the-job training, exposure to cutting-edge methodologies, and opportunities to contribute to innovative financial products through rigorous model development and documentation.

Qualifications

• Master’s degree in a quantitative field (e.g., financial engineering, CS, math, econometrics).
• 1 year of related quantitative or analytical experience, including research during masters/PhD.
• Strong quantitative and analytical skills.
• Proficiency in Python and C++.
• Ability to collaborate with trading desks, product managers, and tech teams.

Responsibilities

• Develop and implement mathematical models in Python and C++ for pricing and risk management.
• Build software and tools for real-time pricing and relative value strategies.
• Collaborate with risk functions to model market and credit risk across business lines.
• Document model specifications and testing procedures clearly.
• Partner with trading desks, product managers, and technology teams to create quantitative trading models.
• Productionize ML models including training workflows, versioning, real-time inference, deployment automation, observability, and rollback controls.

Skills

Python

C++

Mathematics

Quantitative analysis

Documentation

Teamwork

Research

Communication

Education

Master’s degree in quantitative field

Tools

Python

C++

Job description

J.P. Morgan in Singapore is seeking an Analyst in the Quantitative Trading & Research team to develop and maintain sophisticated mathematical models and analytical tools. You will collaborate with trading desks, product managers, and technology teams to drive performance and manage risk.

Expect on-the-job training, exposure to cutting-edge methodologies, and opportunities to contribute to innovative financial products through rigorous model development and documentation.