Quantitative Portfolio Manager - Dubai, United Arab Emirates - Quantitative Talent

Quantitative Talent
Quantitative Talent
Verified Company
Dubai, United Arab Emirates

1 week ago

Ahmed Al-Mansouri

Posted by:

Ahmed Al-Mansouri

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Description
Our client is a global leader in quantitative trading. They are seeking talented systematic portfolio managers to join their team.

As a Quantitative Portfolio Manager, you will be responsible for managing a portfolio of trading strategies and making investment decisions using quantitative analysis.


Key Responsibilities:

  • Manage a portfolio of trading strategies and optimize the portfolio to maximize returns and minimize risk.
  • Conduct quantitative research to develop new trading strategies and enhance existing ones, using statistical models, machine learning, and other techniques.
  • Develop and maintain trading infrastructure and tools to support portfolio management and analysis, including backtesting and risk management tools.
  • Collaborate with other portfolio managers, traders, and researchers to share ideas and optimize the firms overall portfolio.
  • Monitor market conditions and adjust portfolio positions as needed to respond to changing market dynamics.

Requirements:


  • Masters or PhD in finance, economics, mathematics, statistics, computer science, or a related field.
  • 5+ years of experience in portfolio management, with a focus on systematic trading strategies.
  • Strong programming skills in languages such as C++, Python, MATLAB, or R, with experience in quantitative analysis and statistical modelling.
  • Experience in developing and implementing trading strategies using statistical models, machine learning, and other techniques.
  • Strong understanding of financial markets and products, with a focus on equities, futures, and options.
  • Strong problemsolving and analytical skills, with the ability to work independently and as part of a team.
  • Excellent communication and presentation skills, with the ability to explain complex concepts to nontechnical stakeholders.
  • Master's or PhD in finance, economics, mathematics, statistics, computer science, or a related field.
  • 5+ years of experience in portfolio management, with a focus on systematic trading strategies.
  • Strong programming skills in languages such as C++, Python, MATLAB, or R, with experience in quantitative analysis and statistical modelling.
  • Experience in developing and implementing trading strategies using statistical models, machine learning, and other techniques.
  • Strong understanding of financial markets and products, with a focus on equities, futures, and options.
  • Strong problemsolving and analytical skills, with the ability to work independently and as part of a team.
  • Excellent communication and presentation skills, with the ability to explain complex concepts to nontechnical stakeholders

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