Quantitative Execution Strategist

The Role: The Quantitative Execution team is seeking an Execution Researcher to further refine WorldQuant's execution capabilities across a variety of cash and derivative products to be based in Singapore.

Key Responsibilities:

• Algorithm Design & Implementation:
• Develop detailed specifications for new and enhanced execution algorithms.
• Implement, test, and deploy robust quantitative trading strategies and tools, primarily using Python.
• Tooling:
• Build robust and reusable tools in Python to improve the overall team productivity.
• Market Impact Modelling:
• Research, develop, and refine sophisticated market impact models to seek to predict and minimize the cost of trading.
• Leverage large datasets and advanced statistical/machine learning techniques to improve model accuracy.
• Transaction Cost Analysis (TCA):
• Conduct in-depth Transaction Cost Analysis (TCA) to evaluate the performance of execution strategies, identify drivers of transaction costs, and pinpoint opportunities for optimization.
• Provide actionable insights to portfolio managers and traders.
• Collaboration:
• Work closely with the QES Lead for APAC to align strategies with regional market nuances and business objectives.
• Collaborate with trading desks, technology teams, and other quantitative researchers to integrate solutions and drive innovation

What You’ll Bring:

• PhD/Master’s in a quantitative field (CS, Mathematics, Statistics, Physics, Engineering, Quant Finance) from a top university, with 0–4 years’ experience in quantitative research and/or development for systematic or execution strategies.
• Solid Python programming skills (required), strong understanding of data structures and algorithms, and experience manipulating large-scale datasets using SQL; C/C++ is a strong differentiator.

• Strong expertise in regression models, time-series analysis, and applied machine learning, with exposure to deep learning and/or reinforcement learning, ideally in data-intensive, production-oriented environments.