Quantitative Research, Analyst

JPMorgan Chase & Co.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading global financial services firm in Singapore is seeking a Quantitative Research Analyst to develop mathematical models and analytical tools that enhance financial products and manage risks. This role demands a Master's degree in a quantitative field and at least one year of relevant experience. The analyst will work closely with trading desks and technology teams, ensuring compliance with regulations while innovating in a dynamic work environment. Opportunities for professional growth and impactful work await the successful candidate.

Qualifications

• Master’s degree in financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields.
• 1 year of experience in a related quantitative or analytical role.
• Ability to think strategically and creatively when solving problems.

Responsibilities

• Develop and implement mathematical models in Python and C++ for pricing and risk management.
• Collaborate with trading desks and product managers to create quantitative trading models.
• Ensure compliance with regulatory requirements through effective model development and testing.

Skills

Strong quantitative skills

Analytical problem-solving

Excellent communication skills

Collaborative team skills

Education

Master’s degree in quantitative field

Tools

Python

C++

Job description

Join a world‑class team at J.P. Morgan and help shape the future of financial markets through quantitative research and innovation. This role offers exceptional career growth, exposure to cutting‑edge methodologies, and the opportunity to collaborate with talented professionals globally. You will benefit from on‑the‑job training and have the chance to make a real impact on our business and clients. Be part of a team that values creativity, analytical thinking, and continuous learning.

As a Quantitative Research Analyst within the Quantitative Research team, you will partner with business leaders to develop and maintain sophisticated mathematical models and analytical tools. You will collaborate closely with trading desks, product managers, and technology teams to create solutions that drive performance and manage risk. Your work will contribute to the development of innovative financial products and effective risk management strategies. We value teamwork, open communication, and a commitment to excellence. Join us to advance your career and make a difference in the financial industry.

Job responsibilities

• Develop and implement mathematical models in Python and C++ for pricing and risk management
• Build and maintain software and tools for real‑time pricing and relative value strategies
• Collaborate with risk functions to develop models for market and credit risk across various business lines
• Write clear and comprehensive documentation for model specifications and implementation testing
• Partner with trading desks, product managers, and technology teams to create quantitative trading models
• Ensure compliance with regulatory requirements through effective model development and testing
• Contribute to the development of portfolio risk‑measurement methodologies
• Quantify credit and market risk exposures for a wide range of financial products
• Support product innovation and financial controls through quantitative analysis
• Engage and influence partners and stakeholders through effective communication
• Participate in ongoing training and professional development opportunities

Required qualifications, capabilities, and skills

• Master’s degree in financial engineering, computer science, mathematics, sciences, statistics, econometrics, or other quantitative fields
• 1 year of experience in a related quantitative or analytical role
• Strong quantitative, analytical, and problem‑solving skills
• Solid background in calculus, linear algebra, probability, and statistics
• Proficiency in at least one object‑oriented programming language (C++ or Java) and Python
• Knowledge of data structures and algorithms
• Ability to think strategically and creatively when solving problems
• Excellent verbal and written communication skills
• Experience writing technical documentation
• Ability to work collaboratively in a team environment
• Demonstrated commitment to professional growth and learning
• Experience working in a fast‑paced, dynamic environment

Preferred qualifications, capabilities, and skills

• Experience with financial markets and trading concepts
• Knowledge of financial products and asset classes such as Fixed Income, Credit, Commodities, and Equities
• Background in computer algorithms and specialization in low‑level systems (operating systems, compilers, GPUs)
• Familiarity with options pricing theory, trading algorithms, financial regulations, stochastic calculus, machine learning, or high‑performance computing
• Experience developing models for market and credit risk
• Exposure to regulatory compliance in financial modeling
• Advanced skills in Python and quantitative analysis