Global Banking & Markets, Electronic Trading Algo R&D, Execution Research, Associate, Hong Kong/Tokyo

 We are seeking a highly motivated professional to join our Equities Execution Research team, focusing on the Asia Equities markets. This team is an integral part of the Equities 1D / Electronic Trading strats, responsible for execution research, trading signal development, market microstructure studies, transaction cost modeling (TCM), post-trade execution quality analysis, and other quantitative investigations. The role emphasizes delivery, a rigorous foundation, and achieving commercial results.

This role offers an exciting opportunity to be at the forefront of electronic trading research and development, contributing to the success of our global trading operations. If you are passionate about financial markets, have a strong quantitative background, and are eager to make a commercial impact, we encourage you to apply.

Key Responsibilities:

• Trading Algorithm Development: Enhance and refine trading algorithm logic to improve execution performance.
• Alpha Signal Research: Conduct research and development into alpha signals to identify profitable trading opportunities.
• Transaction Cost Modeling: Fit, validate, and continuously improve trading cost models to optimize execution strategies.
• Analytics Generation: Produce pre- and post-trade analytics and other metrics to quantify and understand business aspects.
• Exploratory Analysis: Perform exploratory analyses, hypothesis testing, author research content, and provide consultation to traders and clients.
• Workflow Optimization: Identify and solve workflow inefficiencies to help the execution services desk scale effectively.
• Performance Improvement: Implement improvements that directly enhance execution performance and reduce innovation costs.
• Brand Equity Building: Contribute to building the execution services brand and increasing client mind share.

Skills and Experience:

• Judgment and Work Ethic: Demonstrate sound judgment, responsibility, and a solid work ethic.
• Educational Background: Hold a strong background in math, science, engineering, or econometrics.
• Quantitative and Problem-Solving Skills: Possess strong quantitative and problem-solving skills, with the ability to formulate hypotheses, test them, and distill them into practical models for trading algorithms, pre/post-trade analysis, market-microstructure research, and visualization.
• Probability and Statistics: Have a strong foundation in probability and statistics.
• Programming Skills: Proficient in modern programming languages such as Java (preferred), Python (preferred), q (preferred), C++, and C.
• Communication Skills: Effectively communicate and present results, highlighting their broader commercial and strategic impact.
• Data and Systems Handling: Capable of working with significant volumes of data and systems.
• Collaborative Environment: Ability to work in a collaborative and time-sensitive environment.
• Algorithms and Data Structures: Clear understanding of algorithms and data structures.
• Core Programming Concepts: Familiarity with core programming concepts and techniques, including concurrency and memory management.
• SDLC Tools: Comfortable with standard Software Development Life Cycle (SDLC) tools, such as version control systems and diff-ing tools.
• SQL & REST API: Knowledge of SQL and REST API queries, with KDB+ being a plus.

Preferred Qualifications:

• Advanced Degrees: Master’s or PhD degree in Statistics, Quantitative Finance, Computer Science, Machine Learning, Engineering, or a related field.
• Financial Markets Knowledge: Familiarity with financial markets and market microstructure.
• Linux/UNIX Development: Experience developing in a Linux or UNIX environment.
• Middleware Technologies: Understanding of middleware technologies, particularly Kafka.

This role offers an exciting opportunity to be at the forefront of electronic trading research and development, contributing to the success of our global trading operations. If you are passionate about financial markets, have a strong quantitative background, and are eager to make a commercial impact, we encourage you to apply.

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