Quantitative Trading and Research – Credit – Vice President

Company: JP Morgan Chase
Apply for the Quantitative Trading and Research – Credit – Vice President
Location: London
Job Description:

Overview

As VP on the Credit Quantitative Trading and Research team, you will advance quantitative models and tools for corporate bonds, bond portfolios, and CDS indices within a low-touch market-making context. You will bridge research and production, collaborating with cross-functional partners to improve trading strategies, risk insights, and decision-making. The role emphasizes integrating AI/ML alongside traditional methods to deliver robust, scalable analytics aligned with business goals. This position offers the opportunity to shape quantitative capabilities and drive tangible impact across the trading desk.

Responsibilities

  • Collaborate with market makers, risk managers, and stakeholders to support trading activities and strategy development.
  • Analyze market trends and large datasets to produce actionable insights using relevant methodologies.
  • Design and deploy end-to-end tools and systems ensuring models comply with industry best practices.
  • Foster understanding of how different business parts connect to team success and business objectives.
  • Drive projects from a quantitative research perspective, steering them toward long-term value.
  • Invest in existing AI/ML models and continuously enhance capabilities to keep pace with modern frameworks.

Key requirements

  • Post-graduate degree in STEM (e.g., Mathematics, Physics, Engineering, Computer Science).
  • Extensive experience in quantitative research or related roles in e-trading.
  • Strong knowledge of corporate credit and systematic market making.
  • Excellent analytical skills, detail-oriented, systematic problem-solving, open to new ideas.
  • Ability to work collaboratively in a fast-paced environment with independent thinking and strong organizational skills.
  • Strong communication skills to convey complex concepts to non-technical stakeholders.
  • collaboration
  • effective communication
  • independent thinking
  • deep learning
  • time series modeling
  • Python

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Posted: October 10th, 2026