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Graduate Business Automation Analyst
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FX Trading Technology | Canary Wharf, London
Contract Length
3 to 6 months, with potential to extend to 12 months
Location
Canary Wharf, London (4 days in the office, 1 day from home)
Salary
£27,000
Start Date
Immediate
Working Hours
9:00am to 5:00pm, with some flexibility on start time (e.g. 8:00am starts)
Reports To
Head of Operations and Business Management, with day-to-day supervision from a Quant on the team
Interview Process
Initial interview (approx. 20 minutes) followed by a Python assessment
About the Business
A leading Electronic Communication Network for global FX trading, forming part of a major exchange group. The business gives clients, including retail brokers, institutions, banks, hedge funds and proprietary trading firms, access to deep, diversified liquidity through award-winning, ultra-low-latency trading technology capable of handling thousands of clients simultaneously.
The Role
This is a hands-on internship working directly with the Head of Operations and Business Management, and supervised day-to-day by a Quant, on a focused, high-value automation project: replacing a manual invoicing and billing process with a robust, code-based solution. Today, this process involves pulling data from separate systems, applying exceptions logic, running multi-stage validations, and a significant amount of manual intervention to produce final files. You will learn the process in full, then build the Python tooling that makes it largely self-running.
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Key Responsibilities
- Work closely 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 multiple source systems, applies business rules and exception handling, runs the required validation checks, and generates accurate, client-ready invoices.
- Work with a large, data-heavy spreadsheet and encode its logic accurately in code, applying strong attention to detail throughout.
- Reduce manual copy-paste steps through scripted data transformation and output templating.
- Build a robust solution: handle edge cases, surface errors clearly, and keep outputs auditable.
- Document the solution clearly so it can be maintained, extended and handed over.
- Present progress at key milestones to the Head of Operations and other stakeholders.
What We're Looking For
This is not a software engineering role. We are not looking for a computer science background or formal software development experience, no specific university or degree subject is required. What matters is real, hands-on Python experience and a careful, detail-focused approach to working with data.
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Essential:
- Proven, hands-on Python experience, gained through real projects rather than coursework alone
- Comfortable working with Pandas; prior hands-on use is preferred.
- Strong Excel skills: able to open a complex, formula-heavy workbook built by someone else, understand its logic, and translate that into code.
- Experience working with large, detailed datasets, with the attention to detail needed to encode business logic accurately, including exception paths.
- A rigorous approach to validation: you design for edge cases, not around them.
- Clear communication: able to explain what you have built and why to a non-technical audience.
- Follows good coding practice and writes clean, readable, maintainable code.
Preferred:
- Background or coursework in finance, economics, fintech or a related field is a plus, but not essential.
Process
A short initial interview (around 20 minutes) followed by a Python test. The assessment is not about completing every part of it. It is about how you approach the problem and the quality of the work you produce.
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