Credit Quant Trading & Research VP: AI-Driven Markets

Testing Site - JPMC

Greater London

On-site

GBP 150,000 - 220,000

Full time

14 days+

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Job summary

JPMorgan Chase & Co. seeks a Vice President for the Credit Quantitative Trading and Research team in London.

The role centers on developing and deploying AI/ML models for corporate credit, fixed income markets, and ETFs, with end-to-end analytics, tools, and robust production-ready solutions. You will collaborate with traders and market makers, translate large datasets into actionable insights, and ensure robust, scalable modeling aligned with business objectives.

Qualifications

  • Post-graduate degree in STEM with hands-on experience in AI/ML time series models and traditional statistical modeling.
  • Extensive experience in a quantitative research or related role within electronic trading.
  • Strong knowledge of corporate credit, fixed income markets, and ETFs.

Responsibilities

  • Invest in and improve AI/ML models to keep up with modern frameworks.
  • Collaborate with traders, market makers, and stakeholders to support trading activities.
  • Analyze market trends and large datasets, translating insights into actionable outputs.
  • Design and implement end-to-end tools and systems ensuring models comply with best practices.
  • Foster understanding of how different business parts connect and contribute to overall success.
  • Drive projects from a quantitative research perspective toward long-term success.

Skills

AI/ML modeling
Time series modeling
Quantitative research
Analytical thinking

Education

Post-graduate STEM degree

Tools

Python
Java

Job description

JPMorgan Chase & Co. seeks a Vice President for the Credit Quantitative Trading and Research team in London.

The role centers on developing and deploying AI/ML models for corporate credit, fixed income markets, and ETFs, with end-to-end analytics, tools, and robust production-ready solutions. You will collaborate with traders and market makers, translate large datasets into actionable insights, and ensure robust, scalable modeling aligned with business objectives.

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