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.
Time Type: Full time ------------------------------------------------------
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