Quantitative Researcher, PM Engagement | Paragon Alpha

Quantitative Researcher, PM Engagement

Permanent

Portfolio Management, Research

London

Our client, one of the world's leading hedge funds, are now seeking a talented Quantitative Researcher to join an established investment team that specializes in systematic equity strategies. The Quantitative Researcher, PM Engagement, is responsible for working with equity PMs on their portfolio construction and investment process, helping them understand their risk taking and improve their profitability and scalability. The researcher will be expected to contribute to the development of quantitative models for the analysis of portfolio risk & performance for strategies, including alternative equity strategies. The researcher will be responsible for developing models, conducting analysis, and sharing insights on drivers of P&L, best practices, and portfolio construction concepts with portfolio managers and business management.

Principal Consultant

Elaine Bunyan

ebunyan@paragonexecutive.com

The successful candidate should be passionate about equity investing with experience in Long/Short or alternative equity strategies, and possess advanced quantitative abilities, strong analytical skills, and be a strong communicator able to explain quantitative concepts and recommendations to other investment professionals. They will demonstrate a strong sense of ownership and an ability generate and execute creative ideas as the team builds analytics and tools to support and grow the business.

 

 

Responsibilities:

 

Qualifications:

    • Improving profitability and scalability of the equities business by working directly with PMs to drive performance and scale; supporting tailored analysis with quantitative research and a deep understanding of the investment process.
    • Research: Develop models for analysis of investment process, portfolio construction, risk and return attribution for strategies
    • Understand team investment processes and how to capture and analyze relevant data
    • Develop analysis supported by data for individual teams and/ or using data across the business to provide analysis on best practices, insights, and areas to improve risk-adjusted returns
    • Propose and substantiate new research ideas that can be delivered to Portfolio Managers/ Business
    • Respond to analytical questions from portfolio managers and senior management related to risk, portfolio construction, investment process
    • Relationships and Advising: Managing relationships with Portfolio Managers and work with them to grow and improve profitability of their business. Functioning as a representative of equity risk, interface with PMs. Ensure that views / themes are accurately represented within portfolios
    • Project Ownership: Collaborate with other Quantitative Researchers across Risk & Development, Data, Product and Engineering teams on accessing data sets and developing tools that improve Portfolio Managers or Business efficiency, profitability, and understanding of portfolio/ risks
      • 5+ years of experience working on a team with experience understanding risk/ portfolio construction and analytics related to equity Long/ Short or other alternative equity strategies, including at least 2 years of direct interaction with risk takers or in a risk taking role
      • Strong Python skills – including prior experience with time series analysis, managing data, and contributing to internal analysis libraries in Python
      • Experience with SQL for managing and accessing data
      • Proficiency with software development process and tools such as GitHub
      • Excellent communication/ presentation skills, confidence, and ability to influence, coach, educate fundamental PMs
      • Superior quantitative skills demonstrated through an advanced degree (PhD or Masters) in sciences/ math/ quantitative discipline and/ or practical experience applying quantitative finance theory
      • Desire to work with portfolio teams focused on equity strategies
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