Overview
The intern will support initiatives exploring how Artificial Intelligence (AI) can strengthen and modernize the Bank’s cybersecurity capabilities.
Tasks Summary
- Develop prototypes or Proof-of-Concept Models demonstrating AI feasibility for security use cases
- Create design documentation, model architecture diagrams, and experiment results
- Document datasets, preprocessing steps, evaluation metrics, and model limitations
- Conduct benchmarking analyses of AI security tools, frameworks, or products
- Provide recommendations for integrating AI into security operations, IT GRC, or incident response
- Propose governance controls for secure and responsible AI use
- Deliver a comprehensive end-of-internship presentation to ITD management
Experience Requirements
- Hands-on experience developing prototypes using Generative AI, Agentic AI, and fine-tuning Large Language Models
- Familiarity with vector databases and retrieval-augmented generation (RAG) architectures
- Strong Python skills and experience with AI/ML libraries (PyTorch, TensorFlow, scikit-learn)
- Basic understanding of cybersecurity operations, incident response workflows, phishing detection, or threat intelligence is a plus
Qualification Requirements
• Currently enrolled in a Master or PhD program, preferably specialized in Artificial Intelligence or Cyber Security