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London - 2024 Long Term Internship - eGlobal Credit Primary

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BNP Paribas

1mo ago

🚀 Off-cycle Internship


AI generated summary

  • You need a degree in Computer Science, Python skills, creativity in data visualization, experience with data tools, and a proactive and diligent mindset. Be adaptable, analytical, and conduct yourself with integrity.
  • You will assist in shaping data strategy, improving systems, conducting research, contributing to digital product management, and proposing solutions for technical problems in a digital credit team.

Off-cycle Internship

Software EngineeringLondon


  • A self-motivated and independent person required for a long-term internship in the Credit business. Creativity and self-drive as well as strong quantitative and communication skills are essential.
  • The long-term intern will work within the eGlobalCredit team to assist with key Primary Credit digital activities. The internship will involve working across high-profile data infrastructure and application development initiatives which will require direct communication with a wide range of business stakeholders. The intern will also have the opportunity to be directly involved in the Product management process for key front-office applications including with internal marketing and helping with training and communication. Additionally, there will be chances to be a key part of cutting edge AI/LLM deployment within Credit including solution design, testing, idea generation and marketing. 
  • This is an opportunity to shape key Primary Credit initiatives from the ground up and the potential to make a lasting impact in front-office capabilities. The role would involve direct front-office interaction and requires strong communication skills for understanding client needs and presenting new technology. 
  • The ideal candidate would have a background in a technical/STEM field and experience working in markets, either at an investment bank or somewhere similar. Other relevant experience, however, will be considered. The candidate must have strong analytical and problem-solving skills and be able to work with a geographically diverse team.


  • Bachelor’s degree or higher in Computer Science, Software Engineering.
  • Self-starter, keen to dig, prototype and try things out
  • Creativity in visualization and presentation
  • Strong in Python (or other languages with a willingness to learn Python)
  • Interested in Machine learning, Large Language Models and Data Science
  • Experience with data visualisation tools including Tableau, Alteryx, PowerBI and data retrieval including SQL
  • Professional experience working with Traders, Sales and Operations
  • Energetic, motivated and determined
  • Pragmatic and results-oriented
  • Adaptable to diverse set of technical responsibilities
  • Excellent analytical and problem-solving skills
  • Productive and able to manage time effectively
  • Conduct:
  • Be a role model, supporting and fostering a culture of good conduct
  • Demonstrate proactivity, transparency, and accountability for identifying and managing conduct risks
  • Consider the implications of your actions on colleagues

Education requirements


Area of Responsibilities

Software Engineering


  • Help shape data strategy and get hands-on with data projects
  • Help team identify improvements to make to our systems and business processes
  • Conduct research on emerging technologies and industry trends to inform digital strategy
  • Contribute to digital product management efforts including internal marketing and training
  • Understand requirements, solve technical problems, propose complete solutions


Work type

Full time

Work mode