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Equity Market Microstructure Analyst
2 weeks ago
We are seeking a highly qualified Research Scientist to support the team's growth and enhance our capacity to deliver proactive analysis and data-driven consultancy to internal stakeholders.
The successful candidate will play a crucial role in contributing to the team's initiatives across global markets.
Key Responsibilities:
- Work with the Head of Research to develop the strategic vision and research pipeline for execution research across equities and listed asset classes.
- Influence execution outcomes by delivering innovative quantitative and systematic solutions in a collegiate and collaborative environment.
- Contribute to team research discussions and provide mentorship to junior colleagues.
- Systematically identify drivers of execution performance and develop frameworks for their analysis.
- Proactively link themes, concepts, and ideas across asset classes to deliver insightful market analysis with a liquidity and microstructure perspective.
- Manage projects from initial idea through to production, working closely with traders to incorporate their insights and intuition into your work.
- Leverage a dedicated team of developers to implement models and quickly see your impact.
Requirements and Skills:
- 8 to 10 years of professional experience in a quantitative role (e.g., analyst, strategist, researcher, trader, data scientist, quant product manager).
- A proven track record of producing models, analysis, reports, and tools based on quantitative methods, ideally in a client-facing capacity.
- A strong interest in global equity market microstructure and current events, with the ability to transform data into actionable insights.
- An in-depth understanding of electronic and algorithmic execution and related analyses such as Transaction Cost Analysis (TCA) and expected cost models.
- Experience working directly with traders (both low-touch and high-touch) and developers is preferred but not essential.
- A solid understanding of the relevance and application of machine learning methods to execution and counterparty selection.
- Direct experience in planning research projects and managing multiple stakeholders.
- Excellent coding skills in languages such as Python, R, SQL, and kdb/Q.
About Us:
We are an equal opportunity employer passionate about creating an inclusive environment that yields exceptional contribution.
Our organization values diversity and believe every individual brings unique perspectives and experiences to enrich our teams' performance.
