Operations and Automation Intern

  • London, UK
  • Full Time
  • £27k - £27k
  • Operations
  • Python
  • Excel
  • Coding

Job Description

Salary: £27,000 per annum
Contract Type: 6 month internship (with potential for extension)
Location: Canary Wharf  (4 days in office 1 hybrid)

Are you a recent graduate with strong Python skills looking to kickstart your career? Our client operates the regulated markets of cities across Europe and are searching for a Python expert to join them as an Operations and Automation Intern!

This is a 6-month internship paying £27K. This role is primarily office-based (Canary Wharf) with one hybrid day.

About the Company:
Our client is an Electronic Communication Network for foreign exchange trading. It strives to offer its customers access to large pools of diversified liquidity at unparalleled speed with complete transparency in the optimal location. Its award-winning technology gives them an important speed advantage and has the capability of handling thousands of clients simultaneously. Clients include retail brokers, institutions, banks, hedge funds, and proprietary trading firms.

The business is part of the leading pan-European exchange in the Eurozone.

We are hiring an Operations & Automation Intern to work directly with the Head of Operations and Business Management on a focused, high-value project: replacing our current manual invoicing and billing process with a robust, code-based automated solution. Today this process involves drawing data from separate systems, applying exceptions logic, running multi-stage validations, and significant manual intervention to produce final files. Your job is to understand it in full and then build the tooling that makes it largely self-running.

Key Accountabilities:

  • Embed with the operations team to map the existing invoicing process end-to-end: data sources, transformation logic, exception rules, validation steps, and manual outputs.

  • Translate that process knowledge into a clear technical specification for the automation solution.

  • Build a Python-based pipeline that ingests data from both source systems, applies all business rules and exception handling, executes the required validation checks, and generates accurate, client-ready invoices.

  • Eliminate or substantially reduce manual copy-paste steps through scripted data transformation and output templating.

  • Ensure the solution is robust: edge cases handled, errors surfaced clearly, and outputs auditable.

  • Document the solution thoroughly so it can be maintained, extended, and handed over cleanly.

  • Present progress at key milestones to the Head of Operations and relevant stakeholders.

 
Knowledge, Skills, and Experience Required:
Essential

  • Strong Python skills with hands-on experience in data; you are comfortable writing clean, readable, maintainable code.

  • Excel proficiency: you can open a complex, formula-heavy workbook built by someone else, understand its logic, and translate it into code.

  • Comfort working with structured data from multiple sources and encoding business logic programmatically, including exception paths.

  • A rigorous approach to validation: you design for edge cases, not around them.

  • Clear communication: you can explain what you have built and why to a non-technical audience.

Preferred
Background or coursework in finance, economics, fintech, or a related field.

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