How do I apply for the London – Long Term Internship 2026 – Data Platform Business Developer position at BNP Paribas CIB and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

What are the working arrangements and expected duration for the London – Long Term Internship 2026 – Data Platform Business Developer role?

This position is a full-time, structured as a on-site role, with an expected duration of 12 months.

What educational background or degree level is required for the London – Long Term Internship 2026 – Data Platform Business Developer at BNP Paribas CIB?

Candidates are generally expected to be holding or pursuing the following degree levels: Master.

Does BNP Paribas CIB provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

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.

Data & Analytics

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

6Open Positions