Equity Execution Advisory Services Vice President

Job Description :

To be an integral part of the APAC cash equity execution business within the Execution Advisory team. Helping to support and develop our Execution Product performance analysis service and execution Platform Sales development.

• Develop knowledge of client execution needs and requirements, and contribute to strategy
• Work directly with clients and internal stakeholders to design and implement customized algorithmic trading solutions
• Transaction cost analysis (TCA) and Execution algorithm customizations – run independent trade cost analysis to optimize performance and algo trading product enhancements
• Respond to requests related to equity trading analytics, pre and post-trade analytics, liquidity venues and execution recommendation
• Develop sophisticated execution consulting analytics and models. Use available tool-kit and product to deliver client requests as well as assist to create new product development
• Create content on topics related to equity trading including market microstructure, trading costs, regulatory changes and their impact, trading products
• Collaborate with Equities Technology, Algo Quants and Sales Trading teams to work together towards common goal of driving Electronic Execution business growth
• Apply the above-mentioned skill sets and expertise to support the requirements gathering, data analysis, and idea presentation needed to support successful client Algo Wheel implementations.

Qualifications & Skills

• Ideal candidate will have at least 5-7 years of experience as Quantitative Analyst in a financial firm, preferably in Algorithmic Trading group
• Good balance of technical and quantitative skills as well as client engagement experience
• Knowledge of Mathematical finance and Financial Markets, including Algorithmic Trading, Market Microstructure
• Knowledge of Machine learning methodologies, including clustering techniques, factor modeling, and Advanced Statistics.
• Knowledge of common client trading problem sets, industry benchmarks, Algo Wheel implementations, and trends in electronic trading.
• Relationships with client traders and quants would be advantageous.
• Able to explain technical results to non-technical audience
• Strong interpersonal and soft skills
• Coding/Technical skills – Python, KDB-Q, VBA
• Excellent Written & Verbal Communication skills.
• Ability to prioritize and manage own workload effectively in a fast pace environment

Education Level:

• Minimum master in technical field, such as Quantitative Finance, Mathematics, Physics, Engineering, Computer Science or alike (exceptions can be made based upon relevant, equivalent, professional experience).
• Strong academic background
• Finance, Business, Economic or Mathematical degree discipline would be advantageous.

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