Execution Trader

2 weeks ago

Hong Kong, Hong Kong SAR China CITIC CLSA Full time

Position Description Working closely with the algo development team, the algo quant team researches, designs and implements trading signals, trading strategies and analytics systems that are used by our traders and clients around the world. It collaborates with our electronic execution desk to promote the product it builds. It provides extensive quantitative client services to our client base. We strive for innovation and a quantitative, data-driven approach to trading. Our culture is collaborative and one where everyone is valued and given the opportunity to make an impact. Key Areas of Responsibilities Contribute to the development and enhancement of the electronic trading product throughout the entire development cycle. Conduct advanced research into trading signals, optimal scheduling, and order placement strategies. Research market microstructure and perform custom execution research tailored to client needs. Provide quantitative advisory services to support client trading strategies. Align the strategic direction of algorithmic products with overall business goals and client expectations. Optimize algorithm wheel configurations to improve trading efficiency. Data mine trading exhaust to identify insights and enhance trading algorithms. Collaborate with cross-functional teams to implement research findings and improve trading performance. Requirements Post-graduate degree in Mathematics, Physics, Computer Science or another quantitative subject. Minimum 3 years of relevant experience in advanced statistical and machine learning techniques. Strong problem-solving and analytical skills. Proficiency in Python and programming skills. Excellent communication and interpersonal skills. Fluent in both spoken and written English and Chinese. Additional desirable attributes are: Experience building trading signals, models and strategies. Understanding of equity market microstructure. Ability to code in q/kdb+ Development experience in C# or other object-oriented programming languages.

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