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Hong Kong Exchanges and Clearing Limited (HKEX)

Trading Analytics , Analyst

London
Posted about 17 hours ago
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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

Purpose of role:

As volume-driven revenues are owned by the Trading department, the Trading Analytics team drives strategic deliveries and monitor 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 in 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 programme and market making processes, in collaboration with other team members.
  • Prepare timely response to client enquiries related to the incentive programmes, 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 to 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Required Knowledge and Level of Experience:

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  • 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 Required for Role:

  • 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.

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Skills

SQL
Python
Data Analysis
Data Operations
Data Visualization
Statistical Techniques
Large Datasets
Troubleshooting
Collaboration
Documentation
Market Making
Client Enquiries
Risk Review
Incentive Programmes
Automation
Git

Location

London, England, United Kingdom

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