Credit Portfolio AI Quant Research Associate

JPMorgan Chase & Co.; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A leading financial institution in New York is seeking a Quantitative Research professional to enhance trading tools and models using AI and machine learning. The role emphasizes developing automated solutions for market analysis and portfolio management. Ideal candidates should have an advanced degree in a quantitative field and experience in analytics-focused roles, particularly related to fixed income and credit markets. Strong programming skills, especially in Python, are essential, along with a collaborative, detail-oriented mindset.

Qualifications

• At least 4 years of experience in a quantitative research or analytics-focused role.
• Hands-on experience in AI and machine learning applications in finance.
• Exceptional analytical and problem-solving skills.

Responsibilities

• Design and implement AI-based tools for trading workflows.
• Explore machine learning to enhance trading algorithms.
• Collaborate with teams to improve model review processes.

Skills

AI agents building and deployment

Machine learning techniques

Software design

Data science

Analytical skills

Python

Quantitative problem-solving

Education

Advanced degree in mathematics, statistics, physics, financial engineering, or computer science

Tools

Portfolio optimization software

Job description

A leading financial institution in New York is seeking a Quantitative Research professional to enhance trading tools and models using AI and machine learning. The role emphasizes developing automated solutions for market analysis and portfolio management. Ideal candidates should have an advanced degree in a quantitative field and experience in analytics-focused roles, particularly related to fixed income and credit markets. Strong programming skills, especially in Python, are essential, along with a collaborative, detail-oriented mindset.