Credit Quantitative Trading VP - AI/ML Bond Strategies

JPMorgan Chase; New York (NY); On-site; USD 200,000 - 285,000; Full time

Benefits offered by this job

Competitive total rewards package

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

A leading financial institution is seeking a Vice President to join their Credit Quantitative Trading team. This position involves leveraging AI/ML to enhance trading strategies and emphasize innovation in credit markets. The ideal candidate has a strong STEM background, significant experience in quantitative research, and strong analytical skills. The role includes collaborating with cross-functional teams, analyzing market datasets, and designing tools for trading activities. This is a key position in driving the evolution of quantitative research capabilities.

Qualifications

• Minimum 3 to 5 years of experience in a quantitative research or related role.
• Strong knowledge of corporate credit, fixed income markets, and ETFs.
• Excellent attention to detail with a systematic approach.

Responsibilities

• Invest in existing AI/ML models and continuously improve capabilities.
• Collaborate with stakeholders to support trading activities.
• Analyze market trends and large datasets into actionable insights.
• Design and implement tools ensuring compliance with best practices.
• Drive projects with a quantitative research perspective.

Skills

AI/ML experience

Analytical skills

Collaboration in fast-paced environments

Strong communication skills

Education

Post-graduate degree in a STEM discipline

Tools

Python

Java

Job description

A leading financial institution is seeking a Vice President to join their Credit Quantitative Trading team. This position involves leveraging AI/ML to enhance trading strategies and emphasize innovation in credit markets. The ideal candidate has a strong STEM background, significant experience in quantitative research, and strong analytical skills. The role includes collaborating with cross-functional teams, analyzing market datasets, and designing tools for trading activities. This is a key position in driving the evolution of quantitative research capabilities.