Quantitative Portfolio Manager
5 months ago
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 problem-solving 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 non-technical 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 problem-solving 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 non-technical stakeholders
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