VP, Credit Quantitative Trading & AI/ML Research

JPMorgan Chase & Co.; New York, Northern (NY, KY); Hybrid; USD 180,000 - 320,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Vice President to join its Credit Quantitative Trading and Research team, focusing on corporate bonds, bond portfolios, and fixed income ETFs globally. You will bridge research and practical deployment, ensuring AI/ML models are robust, scalable, and aligned with business objectives.

You will collaborate with traders and market makers, leverage AI/ML to enhance trading strategies, and develop production-ready analytics and tools end-to-end.

Qualifications

• Post-graduate STEM degree with hands-on AI/ML time-series modeling and traditional statistics.
• 3–5 years in quantitative research or related e-trading role.
• Strong knowledge of corporate credit, fixed income markets, and ETFs.

Responsibilities

• Invest in AI/ML models and improve capabilities with modern frameworks.
• Collaborate with market makers, traders, and stakeholders to support trading activities.
• Analyze market trends and large datasets, translating insights into actionable results.
• Design and implement end-to-end tools and systems, ensuring model governance and industry best practices.
• Understand how different business parts connect and contribute to team success.
• Lead projects from a quantitative research perspective, driving long-term impact.

Skills

AI/ML for time series

Statistical modeling

Data analysis

Collaboration & communication

Problem solving

Python

Java

Education

Post-graduate STEM degree

Tools

Python

Java

Job description

JPMorgan Chase & Co. seeks a Vice President to join its Credit Quantitative Trading and Research team, focusing on corporate bonds, bond portfolios, and fixed income ETFs globally. You will bridge research and practical deployment, ensuring AI/ML models are robust, scalable, and aligned with business objectives.

You will collaborate with traders and market makers, leverage AI/ML to enhance trading strategies, and develop production-ready analytics and tools end-to-end.