CLSA
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Position Description
CSI has built a leading algorithmic trading brokerage in APAC. Since 2016, it has pioneered the use of advanced machine learning techniques in its ADAPTIVE trading algorithms. Our trading algorithms are designed and developed in APAC.
The Execution Consulting Team is part of the Equities Algo Strategists Group of CSI. It has a cross-region and cross-channel (Electronic Trading, Portfolio Trading and High Touch) mandate to provide execution consultancy services to equity sales traders and CSI’s clients.
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. The successful candidate will work closely with the Algo Strategists Group’s quants and developers in all our development centres and is likely to develop further an in-depth knowledge of quantitative algorithmic trading.
Produce Transaction Cost Analysis of client trading flow and advise clients on optimising their usage of CSI’s trading algorithms.
Generate thought leadership content on market microstructure, regulatory trends, index events, and the evolution of CSI’s product suite.
Respond to internal and external client data and analysis requests in a timely and accurate manner.
Quantify overall platform performance through comprehensive analytics and KPI tracking.
Develop and maintain the team’s data sourcing, validation and pipelining infrastructure, analytics calculators, automated reporting, and dashboard tools.
Collaborate closely with product and technology teams to identify, test, and implement enhancements to trading algorithm features and overall execution performance.
Present analytical findings, performance reviews, and optimisation strategies to senior stakeholders and clients, using clear data driven narratives and visualisations.
Monitor market developments and client trading behaviour to proactively identify trading opportunities, performance risks, and strategic improvements.
Master’s degree in Mathematics, Physics, Computer Science, Engineering or another quantitative subject
Minimum two years of relevant experience, working hands on with quantitative tools demonstrating data analysis skills; Preferably experience gained in financial markets and equities market microstructure
Strong problem-solving and analytical skills
Proficient in Python and programming skills
Ability to code in q/kdb+ would be desirable
Excellent communication and interpersonal skills
Good command in English and Mandarin
Collaborative team player who is open to new ideas
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