Credit Quantitative Researcher

2 weeks ago


New York, United States Paragon Alpha - Hedge Fund Talent Business Full time

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 strategies for credit derivatives and corporate bonds.


Responsibilities:

The selected candidate will undertake a variety of tasks based on their expertise and the team's current priorities, including:

  • Systematic Alpha Research:
  • Development and evaluation of financial models and backtesting methodologies.
  • Conducting statistical and data analyses.
  • Portfolio Construction:
  • Researching transaction cost models and portfolio optimization techniques.
  • Day-to-Day Investment Operations:
  • Implementing research findings into production.
  • Creating automated reports and alerts, investigating data issues, and enhancing investment processes.
  • Performing P&L attribution.


Qualifications:

  • Education: Advanced degree in a quantitative field such as Statistics, Mathematics, Physics, Materials Science, Engineering, Economics, Finance, etc. Preference for a Ph.D., but a Bachelor’s or Master’s degree with relevant industry experience is acceptable.
  • Programming Skills: Strong coding abilities in one of the following languages: Python, R, MatLab, Mathematica, or similar. Proficiency in python is required.
  • Analytical Skills: Demonstrated ability to think critically and independently, evidenced by a track record of projects or publications. Expertise in one or more of the following areas is essential:
  • Statistical learning/machine learning
  • Data science
  • Linear algebra
  • Time series analysis
  • Covariance estimation, factor models, and random matrix theory
  • Data visualization
  • Optimization techniques, including mean-variance optimization and modern portfolio theory
  • Market Interest: A strong interest in financial markets is crucial.


Additional Preferences (Desirable, not Required):

  • Experience in credit markets is a plus but not mandatory.
  • Quantitative investing experience is highly valued, though not required for highly motivated candidates who show a keen interest and the ability to learn independently.

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