Algorithmic quantitative analyst – electronic trading

4 weeks ago


Central And Western District, Hong Kong SAR China Tbwa ChiatDay Inc Full time

Algorithmic Quantitative Analyst – Electronic Trading (Investment Bank)Hong Kong We are looking to hire for one of our ecosystem projects. Our client, a leading Investment bank, is in search of Algorithmic Quantitative Analyst – Electronic Trading. In this role, you will: Collaboration Across Teams: Work closely with product, execution, and technology teams to develop and enhance algorithmic trading strategies. Full Development Cycle: Contribute to the entire development cycle of the electronic trading product. Market Microstructure Research: Conduct research on market microstructure to inform trading strategies. Algo Trading Development: Develop and test algorithmic trading models and price signals. Performance Evaluation: Monitor and evaluate trading performance using transaction cost analysis. Optimization Efforts: Drive ongoing optimization of algo wheel configurations. Client-Centric Quantitative Support: Collaborate with sales and execution teams to provide quantitative advice with a client-focused approach; Support a diverse client group across all regions on a global platform. You might thrive in this role if you have:5+ years’ relevant experience with quantitative analysis gained in electronic execution and/or algo trading. Highly driven and collaborative individual with a logical, analytical approach, a strong desire to excel, and an eagerness to expand knowledge. Possesses intellectual curiosity and a deep passion for ongoing learning and effective problem-solving. Outstanding proficiency in English verbal communication, with the ability to convey technical concepts clearly and concisely while maintaining a strong commercial perspective. Strong programming skills in Python and proficiency in major programming languages like C#, kdb/q, and SQL. Experience within Asia and exposure to global equity markets with a strong understanding of market microstructure. A Ph D and/or Masters’ degree in a quantitative, mathematics, physics, computer science, machine learning or similar discipline.#J-18808-Ljbffr



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