Overview
We are a leading quantitative trading firm partnering with institutional clients across global markets. We are seeking an Institutional ETF Trading and Execution Analyst to join our front-office team. This role combines real-time problem solving, data analysis, client interaction, and workflow optimisation in a highly quantitative, technology-driven environment. You will work at the intersection of markets, systems, and people — ensuring trades are executed accurately and efficiently while continuously improving the tools and processes that support them. The role requires exceptional attention to detail, strong analytical capability, and the ability to communicate clearly across technical and commercial teams.
What You’ll Be Doing
Trade Execution & Real-Time Decision Making
Agree and execute ETF trades with institutional clients using structured internal pricing frameworks.
Coordinate with trading teams to ensure accurate and appropriate outcomes
Manage the lifecycle of trades from agreement from pre trade to execution to post trade
Operate in a time-sensitive environment where precision, discipline, and attention to detail are critical
Accuracy matters — small errors can have meaningful consequences in live markets
Analyse trading and operational data to identify inefficiencies and improvement opportunities
Develop scripts and tools to automate workflows, improve monitoring, and reduce manual processes
Contribute to building scalable processes in collaboration with Devlopment teams
Strong analytical rigour and careful handling of data are essential
Work directly with institutional clients alongside Sales coverage
Explain execution outcomes and respond to technical or operational queries with clarity and structure
Coordinate across trading, operations, sales and technology teams. You will regularly operate at the intersection of multiple teams with different priorities
The ability to communicate precisely, align stakeholders, and avoid ambiguity is fundamental to success
What We're Looking For
Strong Quantitative problem-solving ability
Practical programming proficiency - beginner to intermediate in Python
Comfortable working with structured datasets
Ability to build small tools, scripts, or analytical workflows
High level of precision and attention to detail
Financial markets experience is highly beneficial
An additional language would be advantageous
Prior ETF knowledge beneficial but not required
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