Quantitative Strategist | Data-Driven Portfolio Optimizer
6 days ago
We are seeking an experienced Quantitative Strategist to join our team at Hengli Petrochemical International PTE. LTD.
As a key member of our portfolio management team, you will be responsible for developing and implementing quantitative trading strategies to generate alpha and optimize portfolio performance.
Key Responsibilities- Develop and implement data-driven trading strategies using advanced statistical and machine learning techniques.
- Analyze large datasets to identify potential trading opportunities and evaluate the effectiveness of existing strategies.
- Collaborate with research teams to integrate quantitative insights into trading models and strategies.
- Mentor junior analysts and contribute to the growth and development of our quantitative analytics team.
- Bachelor's, Master's, or PhD in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, or a related field.
- At least 10 years of experience in a quant role, with a proven track record of model development and risk assessment.
- Proficiency in Python, R, SQL, MATLAB, or C++ for data analysis and modeling.
- Strong skills in data manipulation, statistical analysis, and machine learning.
- Deep understanding of financial instruments, including equities, derivatives, and commodities.
- Strong analytical mindset and ability to dissect complex problems into actionable solutions.
Educational Background: Bachelor's, Master's, or PhD in Quantitative Finance, Mathematics, Statistics, Physics, Engineering, or a related field.
Years of Experience: At least 10 years of experience in a quant role.
Salary:$150,000 - $250,000 per annum.
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