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Cross-Asset Risk Premia Research – Quantitative Strategist – Vice President or Executive Director

J.P. Morgan
London
2 weeks ago
Applications closed

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Cross-Asset Risk Premia Research – Quantitative Strategist – Vice President or Executive Director (Basé à London)

Cross-Asset Risk Premia Research – Quantitative Strategist – Vice President or Executive Director (Basé à London)

Cross-Asset Risk Premia Research - Quantitative Strategist - Vice President or Executive Director (Basé à London)

Cross-Asset Risk Premia Research - Quantitative Strategist - Vice President or Executive Director

Cross-Asset Risk Premia Research - Quantitative Strategist - Vice President or Executive Direct[...] (Basé à London)

Join J.P. Morgan's Global Research team as a Vice President or Executive Director Quantitative Strategist, where your expertise will contribute to cutting-edge research and systematic strategies. Collaborate with internal teams and present insights to external clients, leveraging your strong quantitative skills and analytical mindset.

As a Vice President or Executive Director Quantitative Strategist within our Cross-Asset Risk Premia Research team, you will conduct innovative research in cross-asset risk premia strategies, contribute to research publications, and collaborate with internal sales and structuring teams. Your role will involve presenting to external clients and participating in client meetings.

Job Responsibilities:

  • Conduct innovative research in cross-asset risk premia strategies.
  • Contribute to and originate periodic and dedicated research publications focused on systematic strategies.
  • Collaborate with internal sales and structuring teams.
  • Present research findings to external clients and participate in client meetings.

Required Qualifications, Capabilities, and Skills:

  • Master’s or Ph.D. degree in a quantitative subject.
  • Strong quantitative and analytical skills.
  • Previous experience in a research or structuring department of an investment bank or relevant buy-side experience.
  • Excellent coding skills in Python.
  • In-depth knowledge of machine learning and big data.
  • Strong communication, presentation, and writing skills.
  • Team-player attitude.

Preferred Qualifications, Capabilities, and Skills:

  • Previous experience in quant fixed income and/or credit strategies is a plus.


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