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CLSA

Execution Consultant, Trading

Reposted 18 Days Ago
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In-Office
Singapore, SGP
Junior
In-Office
Singapore, SGP
Junior
The Execution Consultant provides execution consultancy to equity sales traders and clients, analyzing trading flows, developing analytics, and supporting data needs.
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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.

Key Areas of Responsibilities

  • Produce Transaction Cost Analysis of client trading flow and advise clients on how they can optimise their usage of CSI’s trading algorithms
  • Generate thought leadership content on market microstructure and regulatory trends, index events and the evolution of our product
  • Respond to internal and external clients’ data and analysis requests
  • Quantify overall platform performance
  • Develop and maintain the team’s data sourcing, validation and pipelining infrastructure as well as the analytics calculators and the automated reporting and dashboard tools

Requirements

  • Bachelor’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

  • Collaborative team player who is open to new ideas

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