2026 APAC Long Internship (Jul - Dec) – Wealth Management IT – Singapore

2026 APAC Long Internship (Jul – Dec) – Wealth Management IT

Location: Singapore
Duration: 6 months
Start date: July 2026
Stream: Wealth Management IT
Eligibility: Undergraduate students in any disciplines from a recognized university

About BNP Paribas (APAC)

In Asia Pacific, BNP Paribas is one of the best-positioned international financial institutions, with an uninterrupted presence since 1860. It has over 20,000 employees across 13 markets and provides corporates, institutional, and private investors with product and service solutions tailored to their needs. Globally, BNP Paribas operates in 64 markets with more than 178,000 employees.

What You Will Do

We are seeking a motivated Data Science or Computer Science student to join an agile squad as an intern. The ideal candidate is in the third or fourth year of their studies and has a strong foundation in programming and database management.

Responsibilities

• Work in an Agile Squad and collaborate with other bank stakeholders.
• Develop and maintain software applications using Python or Java.

Requirements

• Currently enrolled in a Computer Science or Data Science program.
• Seeking a full-time assignment of at least 6 months.
• Good communication skills and ability to collaborate with others.
• Excellent problem-solving skills and attention to detail.
• Proficiency in Python or Java.
• Understanding of SQL and database normalization (normal forms).
• Experience with API development.
• Experience with version control systems (e.g., Git).
• Knowledge of prompt engineering and RAG.

Optional Skills & Qualifications

• Ability to work effectively in an agile team environment.
• Knowledge of APIs and LLM frameworks (e.g., LangChain, Transformers).
• Understanding of NLP, vector embeddings, and AI-driven workflows.
• Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) is a plus.
• Experience working with data processing libraries (e.g., Pandas, NumPy).
• Familiarity with containerization (e.g., Docker, Kubernetes).
• Knowledge of CI/CD pipelines for deploying Python-based AI services.

Benefits

• Gain hands-on experience in a professional setting.
• Work with a supportive and dynamic team.
• Opportunity to learn and grow in a fast-paced environment.