Quantitative Research for Equity eTrading – Associate/Vice President

Found in: Talent HK C2 - 2 weeks ago


Hong Kong, Hong Kong SAR China JPMorgan Chase & Co. Full time

Linear Quantitative Research is an expert quantitative modeling group in . Morgan, an unchallenged leader in financial engineering, statistical modelling and portfolio management. The team partners with traders, marketers and risk managers across all products and regions.

Quantitative skills are a core capability of . Morgan, contributing critically to product innovation, effective risk management and appropriate financial and risk controls. 

As an Associate or Vice president in the Quantitative Research team for Equity eTrading, your mission is to develop and maintain sophisticated mathematical models, cutting-edge methodologies and infrastructure to improve the performance of algorithmic trading strategies and promote the advanced electronic solutions to our clients worldwide. You also work closely with trading desks to develop statistical arbitrage strategies and other quantitative trading models. 

Job Responsibilities: 

Work closely with Electronic Client Service desk to design algorithmic strategies. Build analytics and data-driven processes that automate and optimize model calibrations, including intraday volume, spread, and volatility predictions.  Evaluate and document quantitative methodologies, back-testing and simulating quantitative models. Supporting trading activities by explaining model and algorithm behavior, carrying out scenario analyses, developing and delivering quantitative tools, and supporting data analytics. Engaging in direct client interaction to promote and market our algorithms.

Required Qualifications, Capabilities and skills 

PhD or Master’s Degree in a quantitative discipline from a top-tier institution, including but not limited to computer science, machine learning, math, statistics, operations research. Minimum three years of relevant experience Strong software design and development skills using Python and Java (or C++). Exceptional analytical, quantitative, and problem-solving skills. Mastered advanced mathematics and statistics (., probability theory, time series, econometrics). Experience of time-series data handling.  Strong written and verbal communication skills, ability to convey the ideas behind complex research in a clear and precise manner.

Preferred Qualifications, Capabilities and skills (no more

Experience of algorithmic executions is a plus. Knowledge of market microstructure is a plus. Knowledge of machine learning/deep neural networks is a plus. Knowledge of KDB is a plus.
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