Trading Analytics , Analyst

Purpose of role

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 ensure data production pipelines and processes are efficiently supported, with COO oversight. As part of being 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 opportunities to expand quantitative skills for LME strategic business initiatives.

Shift Pattern

Standard 40 Hour Week (United Kingdom)

Scheduled Weekly Hours

40

Corporate Grade

D - Assistant Vice President

Reporting Line

(UK Division) Information Technology

Location

UK-London

Worker Type

Permanent

Responsibilities

• Assist in the execution of the incentive programme and market‑making processes, in collaboration with other team members.
• Prepare timely responses to client enquiries related to incentive programmes from the Onboarding, RM, and GCD teams, ensuring data and registration discrepancies are thoroughly investigated.
• Understand and maintain data‑operation processes run by the team, troubleshoot any arising issues, and support the migration of Python scripts to the team’s data hub.
• Monitor the submissions of the FOTCBF report in collaboration with Market Data, ensuring month‑to‑date revenue figures are promptly available.
• Maintain up‑to‑date and comprehensive operational documentation for the team’s processes, meeting internal and external audit requirements.
• Contribute to risk review meetings by reviewing and tracking implementation of controls.
• Participate in the Volume Publication Working Group to ensure publication and dissemination of volume data aligns with LME Group strategic objectives, creating and reviewing documentation such as meeting notes, reports, lineage, and business terminology.
• Collaborate with a wide range of stakeholders, including 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 a similar discipline.
• Demonstrated academic or project experience in data analysis, programming, or quantitative problem solving.
• Exposure to financial markets through academic study or internship is advantageous but not required.

Skills set and Core Competencies Required for Role

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