Overview

Haitong International seeks a strong Quantitative Researcher to develop and enhance data-driven quantitative models for optimizing electronic trading execution algorithms. This role is situated within the Equity Sales and Trading department, collaborating closely with developers and TCA teams.

Duties and Responsibilities

• Apply scientific and statistical methodologies to post-trade data, delivering insights into execution algo performance and identifying improvement opportunities.

• Conduct quantitative research on large-scale market micro-structure and order execution data to optimize algorithmic trading behavior and performance, including problem formulation, feature selection, model building, simulations, and back-testing.

• Support the development of new algos (e.g., researching market impact models for Implementation Shortfall algo) and work closely with developers to implement models in the production system.

• Analyze and maintain existing quantitative models used in current algos, measure their performance, and generate enhancement ideas.

Qualifications

• Bachelor's degree (or higher) in Statistics, Physics, Computer Science, Electronic Engineering, or other quantitative disciplines from a top university.

• 2+ years of industry experience in quantitative research. Experience with execution algos on the sell side is preferred but not mandatory. Experience in high frequency trading/market making is a significant advantage.

• Proficiency in R/Python programming for data science projects. Familiarity with statistics/machine learning libraries in R/Python. Knowledge of q/KDB is a plus.

• Strong understanding of machine learning algorithms, principles, and workflows for applying ML to real-world applications. Knowledge of generative AI (e.g., LLM) is a plus.

• Familiarity with a wide range of agency-based trading execution algos (e.g., VWAP, INLINE, MOC, IS) and key implementation considerations. Experience in market impact models and their application in IS algo is a significant advantage.

• Highly motivated, competitive, and passionate about trading. Excellent communication skills and the ability to work effectively in an international team across multiple regions.

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