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About the Role
As a Quant Research Analyst, you will specialize in utilizing mathematical models and statistical techniques to analyze financial data and develop trading strategies. You will contribute to the design, construction, and continuous maintenance of a robust trading infrastructure that supports and optimizes these strategies.
As an Analyst, you will:
• Develop and implement quantitative models for trading strategies.
• Conduct extensive data analysis, utilizing advanced statistical methods and programming tools.
• Design, build, and refine algorithms to enhance investment strategies and portfolio management.
• Monitor financial markets and evaluate the performance of quantitative models and trading systems.
• Collaborate with the team to maintain and optimize our trading infrastructure.
Requirements
The candidate must be in their final year of undergraduate studies, pursuing a master’s degree, or already hold a master’s degree.
You possess strong programming and mathematical skills, enabling you to work comfortably with large datasets and complex models.
You have experience with statistical analysis, algorithm development, and financial data processing.
You are results-driven and perform well under pressure.
You are a proven team player and can manage a wide range of responsibilities.
You have an excellent academic background, particularly in quantitative fields such as mathematics, physics, computer science, or engineering.
You are committed to excellence in your work and uphold high professional and ethical standards.
About the Division
Our Quantitative Research Division is dedicated to cutting-edge analysis, model development, and the creation of robust trading infrastructures. we specialize in quantitative research that delivers accurate and thorough evaluations to support trading strategies. Through our expertise, we design models that capture market dynamics, optimize portfolios, and identify profitable opportunities within the financial markets, while ensuring our trading systems are efficient and reliable.