Vice President, Credit Quant Trading & Research

JPMorganChase; Greater London; On-site; GBP 140,000 - 210,000; Full time

Job summary

J.P. Morgan in London is seeking a Vice President for the Credit Quantitative Trading team to lead analytics on corporate bonds, bond portfolios, and CDS indices, driving model development in a production setting.

You will blend AI/ML with traditional finance methods, collaborating with market makers and risk managers to translate research into robust, scalable trading tools that align with business goals.

Qualifications

• Post-graduate degree in a STEM discipline (e.g., Mathematics, Physics, Engineering, Computer Science).
• Extensive experience in a quantitative research or related role within e-trading space.
• Strong knowledge of corporate credit and systematic market making.
• Excellent analytical skills with attention to detail and a systematic approach to problem-solving.

Responsibilities

• Collaborate with market makers, electronic risk managers, and other stakeholders to support trading activities and strategies.
• Analyze market trends and large datasets, translating them into actionable insights using various methodologies.
• Design and implement tools and systems end-to-end, ensuring models and analytics follow best practices.
• Foster understanding of how different parts of the business connect and contribute to success.
• Drive projects with a quantitative research perspective and ensure progress toward long-term goals.
• Invest in AI/ML models and continually improve capabilities to keep up with modern frameworks.

Skills

Quantitative analytics

Collaborative work

Communication skills

Attention to detail

Education

Post-graduate STEM degree

Tools

Python

Java

Deep learning

Job description

J.P. Morgan in London is seeking a Vice President for the Credit Quantitative Trading team to lead analytics on corporate bonds, bond portfolios, and CDS indices, driving model development in a production setting.

You will blend AI/ML with traditional finance methods, collaborating with market makers and risk managers to translate research into robust, scalable trading tools that align with business goals.