Cross-Asset Quantitative Trading & Research

JPMorganChase; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

J.P. Morgan invites a PhD-level quantitative researcher to join the Quantitative Trading & Research team in Singapore.

You will develop sophisticated models for pricing and hedging, contribute to algorithmic trading improvements, and work with trading, product, and technology partners to deliver high-impact analytics and risk management tools. The role emphasizes production-ready ML workflows, model versioning, and strong collaboration across desks and risk functions, with ongoing training and

Qualifications

• Ph.D. degree in a quantitative field (e.g., financial engineering, CS, math, statistics).
• 1 year of related quantitative/analytical experience, including PhD research.
• Strong quantitative, analytical, and problem-solving skills.
• Proficiency in Python and at least one OO language (C++/Java).
• Knowledge of data structures and algorithms.
• Ability to work independently and in a team.
• Excellent verbal and written communication.

Responsibilities

• Develop and maintain mathematical models to value and hedge financial transactions across products.
• Improve algorithmic trading strategies and deploy electronic solutions for clients worldwide.
• Collaborate with risk functions to model market and credit risk across business lines.
• Build production-ready model infrastructure and tooling.
• Document model specifications and validation tests clearly.
• Partner with trading desks and tech teams to create analytics tools.
• Ensure regulatory compliance through control functions.
• Productionize ML models with training workflows, versioning, and monitoring.

Skills

Python

C++/Java

Data structures & algorithms

Quantitative analysis

Communication

Teamwork

Problem solving

Strategic thinking

Education

Ph.D. in financial engineering / CS / math / stats

Job description

J.P. Morgan invites a PhD-level quantitative researcher to join the Quantitative Trading & Research team in Singapore.

You will develop sophisticated models for pricing and hedging, contribute to algorithmic trading improvements, and work with trading, product, and technology partners to deliver high-impact analytics and risk management tools. The role emphasizes production-ready ML workflows, model versioning, and strong collaboration across desks and risk functions, with ongoing training and