Assistant Data Innovation Engineering Manager
Malta Financial Services Authority View all jobs
- Malta Island
- Permanent
- Full-time
- Identifying opportunities where AI, ML, and LLMs can significantly enhance MFSA’s regulatory and operational capabilities;
- Supporting the definition and prioritisation of AI use cases, feeding into the Authority’s long-term AI roadmap and capability model;
- Building, testing, and refining prototypes that demonstrate the value and feasibility of AI-enabled improvements to MFSA’s processes;
- Ensuring that solutions are designed not just for automation and efficiency, but also to deliver greater analytical depth and decision-making support;
- Helping map out MFSA’s data tools, platforms, and practices to identify what’s working, what’s missing, and where ML/LLM technologies can help;
- Engaging with colleagues from Business Units, Programme Management, IT, and Data to align efforts and ensure successful implementation;
- Tracking developments in the use of AI/ML/LLMs within global and European financial regulatory frameworks;
- Collaborating with the Data Governance team to shape the Authority’s future data architecture and governance model, ensuring readiness for AI-driven innovation;
- Managing the day-to-day activities of the assigned team or project, providing guidance, reviewing outputs, and supporting staff development initiatives;
- Undertake any other duties as assigned by the Head and/or as may be required by the MFSA from time to time based on the exigencies of the Authority.
- Strong ability to prioritise tasks and approach work in a structured, organized manner;
- Excellent communication skills, with confidence engaging and collaborating with teams at all levels;
- A curious and analytical mindset, consistently seeking opportunities to improve processes and outcomes;
- Resilience and adaptability in a rapidly evolving environment;
- Practical experience applying machine learning and/or large language models (LLMs) to real-world problems;
- Familiarity with relevant tools and frameworks such as Python, scikit-learn, Hugging Face, TensorFlow, PyTorch, or similar technologies;
- Experience in the financial sector is an advantage.
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