Quantitative Research – Market Capital - Vice President

J.P. Morgan; New York (NY); On-site; USD 130,000 - 210,000; Full time

Job summary

A leading investment bank is seeking a Vice President for the Quantitative Research Market Capital (QRMC) team. This role involves building sophisticated financial models and partnering with stakeholders to drive product innovation and risk management. The ideal candidate will have a strong background in mathematics or computer science and expertise in Python and/or C++. Experience in financial products is preferred but not required for application.

Qualifications

• Graduate degree in Mathematics or Computer Science is required.
• Experience with Python and/or C++, including numpy and pandas, is essential.
• Strong analytical and problem-solving abilities are needed.

Responsibilities

• Implement next generation of risk analytics platform and perform back testing.
• Improve analytics algorithms' performance and assess model limitations.
• Design numerical algorithms and high performance computing solutions.

Skills

Communication

Analytical ability

Problem solving

Software design

Education

Graduate degree in Mathematics or Computer Science

Tools

Python

C++

Job description

Quantitative Researchers (QR) are key part of JP Morgan’s markets business, developing and maintaining sophisticated mathematical models, cutting-edge methodologies and infrastructure to value and risk manage financial transactions.

Position Summary:

As a Vice President for the QRMC (Quantitative Research Market Capital) team, you will build financial engineering, data analytics, and statistical models and infrastructure. You will partner with various stakeholders across all products and regions, contributing to product innovation, valuation, risk management, and portfolio optimization.

Job Responsibilities:

• Implementation of the next generation of risk analytics platform and assess model performance, perform back testing analysis and P&L attribution;
• Improve performance and scalability of analytics algorithms and develop and enhance mathematical models for VaR/Stress/FRTB; Assess the appropriateness of quantitative models and their limitations, identifying and monitoring the associated model risk;
• Design efficient numerical algorithms and implementing high performance computing solutions.
• Design and develop software frameworks for analytics and their delivery to systems and applications.

Required qualifications, capabilities, and skills:

• Good interpersonal and communication skills, ability to work in a group
• Graduate degree in Mathematics or Computer Science
• Expertise in Python and/or C++, including experience with numpy, scipy and/or pandas
• Expertise in data structures, standard algorithms and OO design.
• Strong software design skills and implementation skills
• Strong analytical and problem solving abilities.
• Excellent oral and written communication skills

Preferred qualifications, capabilities, and skills:

• Knowledge and experience of machine learning is a plus
• Knowledge of financial products and understanding of derivatives valuation models is a plus
• Probability theory, financial math or stochastic calculus is a plus
• Knowledge of finance or quantitative finance is desired