Global Banking & Markets, Electronic Trading, Execution Consultancy, Analyst/Associate, Hong Kong

We make markets in and clear client transactions on major stock, options and futures exchanges worldwide. Through our global sales force, we maintain relationships with our clients, receiving orders and distributing investment research, trading ideas, market information and analysis.

We are looking for a highly motivated individual to join our Equities Execution Consultancy team, serving Asia Equities markets. The team is part of GSET, and is involved in algorithm performance research, market microstructure studies, applied transaction cost modeling (TCM), post-trade execution quality analysis and statistical testing, for agency and principal execution desks.

A core function of the execution consultancy team is post-trade performance analysis and algorithm behaviour customization. These analysis apply to both execution algos and smart order routers, to ensure both meet Best-Execution goals. Our team consists of experienced programmers and quants, who are motivated by understanding how algorithmic trading can improve our client’s performance. We use our knowledge to tailor the algorithm to the alpha of the fund – and the microstruture of stocks.

The team sits on the trading floor and has direct relationships with our major clients. The Execution Consultancy team is dynamic, and thrive on quantitative and technical challenge. We have a statistical approach to decision making and are frequently called upon to explain algorithm performance, in quantitative terms, to our clients. We work closely with our colleagues in the GSET algorithm team to ensure our recommendations are appropriately implemented, on behalf of our clients.

Responsibilities

• Build the statistical software that helps us analyze the performance of our trading strategies
• Understand the importance of high and low-frequency markouts to algorithm performance
• Understand the importance of crossing to client execution performance, and how to maximize it
• Understand transaction cost models, and how microstructure can affect execution performance
• Implement and understand trading simulations, how these can be used to help parameterize client algorithms
• Implement and understand the statistics of A/B testing, and how these can help parameterize client algorithms
• Understand client benchmark performance measures, and monitor these to continuously improve performance of trading strategies.
• Communication with traders, sales, clients and compliance officers about execution performance

Basic Qualifications

• Bachelors or Master’s degree in scientific/engineering discipline
• Min. 2 yrs experience in coding. Thorough knowledge of Python programming concepts
• Understanding of both parametric and non-parametric statistical tests.
• Experience in data visualization. Strong analytical and problem solving skills.
• Excellent communication skills and the ability to work in a team

Preferred Qualifications

• Familiarity with financial markets and market microstructure
• Relevant experience in Financial industry (algorithmic trading, the mechanics of electronic trading & HFT strategies)
• Experience in statistical and machine-learning modules for python. Some experience of KDB+

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