The Company is seeking a Vice President for a Quantitative Research Analyst role within its Multi-Asset Liquidity and Execution Performance team. The successful candidate will be responsible for leading the cross-asset work on liquidity modeling and execution performance measurement. This includes deepening the company's structural liquidity and capacity modeling capabilities, advancing execution performance measurement and attribution, and connecting the research agenda across the team. The role also involves advising traders and investment teams on live execution decisions, guiding the liquidity and performance measurement roadmap for the proprietary execution analytics platform, and strengthening research quality across the wider team. Applicants should have a professional background in a quantitative research or markets role, with expertise in liquidity and market impact modeling, and a strong grounding in execution performance measurement. Experience with market and transaction data, as well as a practical understanding of the application of ML/AI in execution research, is essential. The role requires the ability to scope and deliver research, allocate resources effectively, and communicate complex analysis to both technical and non-technical audiences. Proficiency in coding and quantitative data analysis, particularly in Python and SQL, is a must. Experience with kdb+/q and Databricks, as well as a background in representing a research team to external stakeholders, is considered advantageous.

Hiring Company

GIC