AI Trading Automation Intern – Remote

CORUM L'Epargne

Greater London

Hybrid

GBP 13,000 - 20,000

Part time

14 hours ago
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Benefits offered by this job

Remote work up to 2 days a week
Mentorship from Head of Trading
International exposure

Job summary

CORUM Butler in London seeks an English-speaking AI developer intern to assist traders by building practical tools using Python, AI, and LLMs. You will automate tasks, structure data, and create dashboards, gaining exposure to bond and derivatives markets within a fast-paced environment.

You will work closely with the Head of Trading and receive mentorship, contributing to meaningful projects through their lifecycle.

Qualifications

  • Master’s or final-year program in CS/Engineering/Data Science or quantitative finance
  • Strong Python skills with pandas and basic SQL
  • Experience with large language models (OpenAI or Anthropic)
  • Interest in financial markets
  • Fluent English
  • Curious, rigorous and able to explain technical work clearly

Responsibilities

  • Understand daily trading workflow and identify automation opportunities
  • Develop tools to read emails and documents and convert to structured data
  • Automate routine checks and daily reports
  • Create dashboards to monitor trades, positions and performance
  • Test and document tools following IT security and compliance rules
  • Present work to trading and portfolio management teams

Skills

Python (Pandas)
SQL
LLMs
Financial markets interest
English fluent
Communication & explanation

Education

Master’s or final-year program in CS/Engineering/Data Science/Quantitative Finance

Tools

OpenAI API
Anthropic API

Job description

CORUM Butler in London seeks an English-speaking AI developer intern to assist traders by building practical tools using Python, AI, and LLMs. You will automate tasks, structure data, and create dashboards, gaining exposure to bond and derivatives markets within a fast-paced environment.

You will work closely with the Head of Trading and receive mentorship, contributing to meaningful projects through their lifecycle.

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