Trading Analytics , Analyst in London

As volume-driven revenues are owned by the Trading department, the Trading Analytics team drives strategic deliveries and monitors progress against revenue targets. The team develops quantitative tools to support resilience within the department and ensures that data production pipelines and processes are efficiently supported, with COO oversight. As part of a data‑led organisation, the team is responsible for contributing to projects and developing analytics for the Trading division, spanning market microstructure, liquidity and execution, pricing, and operational intelligence.

We are seeking a highly motivated analyst to support the Head of Trading Analytics particularly in a Data Operations capacity, with some opportunities to expand their quantitative skills to support LME strategic business initiatives.

Responsibilities

• Assist in the execution of the incentive program and market‑making processes, in collaboration with other team members.
• Prepare timely responses to client enquiries related to the incentive programs, from the Onboarding, RM, GCD teams.
• Ensure data and/or registration discrepancies are thoroughly investigated.
• Understand and maintain data operation processes run by the team.
• Troubleshoot any issues as they arise.
• Support the migration of Python scripts to the team’s data hub.
• Monitor the submissions of the FOTCBF report, in collaboration with Market Data, and ensure month‑to‑date revenue figures are promptly available.
• Ensure the operational documentation of the team’s processes is up to date and comprehensive, meeting the requirements of the internal and external audit teams.
• Contribute to risk review meetings by reviewing & tracking implementation of controls.
• Participate in the Volume Publication Working Group, which ensures that publication and dissemination of volume data is consistent with the LME Group strategic objectives.
• Create & review documentations, including but not limited to meeting notes, reports’ lineage, business terminology.
• Collaborate with a wide range of stakeholders, such as IT teams and business users within the Trading department to enhance the team’s analytical offering.

Required Knowledge and Level of Experience

• Degree in a quantitative field such as Mathematics, Statistics, Economics, Engineering, Computer Science or similar.
• Demonstrated academic or project experience in data analysis, programming, or quantitative problem solving.
• Exposure (academic or internship) to financial markets is advantageous but not required.

Skills Set and Core Competencies

• Strong coding skills in: SQL (data querying, transformation), Python (data analysis, scripting, automation).
• Experience with large datasets and basic statistical techniques.
• Knowledge of tools such as Excel, Git, or data visualisation platforms is beneficial.

The LME is committed to creating a diverse environment and is proud to be an equal opportunity employer. In recruiting for our teams, we welcome the unique contributions that you can bring in terms of education, ethnicity, race, sex, gender identity, expression and reassignment, nation of origin, age, languages spoken, colour, religion, disability, sexual orientation and beliefs. In doing so, we want every LME employee to feel our commitment to showing respect for all and encouraging open collaboration and communication.