VP, Quant Trading & Research β€” Analytics & Automation in London

VP, Quant Trading & Research β€” Analytics & Automation in London

London Full-Time 81000 - 99000 Β£ / year (est.) On-site
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At a Glance

  • Tasks: Develop advanced models and automate workflows to optimise revenue and manage risk.
  • Company: Join J.P. Morgan, a leading global financial services firm.
  • Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
  • Other info: Dynamic team environment with opportunities to collaborate across various departments.
  • Why this job: Make an impact in finance by leveraging cutting-edge analytics and mentoring future talent.
  • Qualifications: Strong background in quantitative analysis and experience in financial markets.

The predicted salary is between 81000 - 99000 Β£ per year.

J. P. Morgan is seeking a Vice President for the Quantitative Trading and Research (QTR) team in London.

The role develops and maintains advanced mathematical models, ML methods, and robust infrastructure to optimize revenue, manage risk, and automate workflows within Prime Finance.

You will collaborate with trading, technology, and risk teams, translate complex quantitative ideas for executives, mentor junior researchers, and contribute to alpha signals and hedging strategies.

VP, Quant Trading & Research β€” Analytics & Automation in London employer: JP Morgan Chase

Morgan is an exceptional employer, offering a dynamic work culture that prioritises diversity and inclusion while fostering employee growth through comprehensive coaching and development opportunities. As a global leader in financial services, we empower our teams to drive impactful product management and AI enablement, ensuring that every employee can contribute meaningfully to our clients' success in a collaborative environment located at the heart of the financial sector.

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Contact Details:

JP Morgan Chase Recruitment Team

We think you need these skills to ace VP, Quant Trading & Research β€” Analytics & Automation in London

Advanced Mathematical Modelling
Machine Learning Methods
Infrastructure Development
Revenue Optimisation
Risk Management
Workflow Automation
Collaboration Skills