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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

22Open Positions

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London – Long Term Internship 2026 – Data Platform Business Developer

BNP Paribas CIB
Found 1 month ago
Location
London, United Kingdom
Duration (Months)
12 Months
Time
Full-time
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Master

Skills & Qualifications

Technical Skills

  • Python
  • SQL
  • Data Engineering
  • ETL flows
  • Java

Soft Skills

  • Strong analytical and problem‑solving mindset
  • Motivation to work in a collaborative and dynamic environment
  • Strong communication and interpersonal skills
  • Attention to detail and delivery‑oriented approach
  • Ability to learn quickly and adapt to evolving requirements

Job Description

We are looking for an intern to support our risk data integration activities. The intern will work on the ingestion and transformation of risk sensitivities from various front‑office risk engines into the Data Platform’s data warehouse. This internship is ideal for a student wishing to gain hands‑on experience with Python development, data engineering concepts, and financial risk datasets within a complex, high‑performance environment. The role involves working closely with developers, analysts and product owners to understand functional requirements and deliver well‑structured, reliable code.

Requirements

  • Enrolled in a Master’s program in Computer Science, Data Engineering, Finance or related fields.
  • Strong interest in risk data, financial markets, or large‑scale data processing.
  • Good understanding of Python and its ecosystem.
  • Knowledge of SQL and relational databases.
  • Understanding of object‑oriented programming.
  • Ability to write clean and readable code.
  • Interest in data schemas, ETL flows and scalable applications.
  • Unit‑testing or debugging experience is a plus.
  • Knowledge/Skills/Experience Required:
  • Strong analytical and problem‑solving mindset.
  • Motivation to work in a collaborative and dynamic environment.
  • Strong communication and interpersonal skills.
  • Attention to detail and delivery‑oriented approach.
  • Ability to learn quickly and adapt to evolving requirements.
  • English
  • French is a plus but not mandatory
  • Understanding of risk sensitivities or financial products (optional but beneficial).
  • Exposure to data validation or data management practices.
  • Knowledge of Java is a plus but not required.

Related Field

  • Data & Analytics

Related Subfield

  • Data Engineering

Languages

  • English

Nice to Haves

  • Unit‑testing
  • Debugging
  • Understanding of risk sensitivities or financial products
  • Exposure to data validation or data management practices
  • Knowledge of Java
▶Apply Now

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