Malta Financial Services Authority

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About Department 
The Data Innovation &amp; Strategy team is at the forefront of shaping how the Authority leverages data and AI to lead in a rapidly evolving regulatory landscape. We’re on a mission to unlock data’s full potential — not just to inform decisions, but to transform the way we supervise, anticipate emerging risks, and deliver public value. This team drives forward-looking initiatives, explores cutting-edge technologies, and plays a key role in positioning the Authority as a digitally empowered, innovation-driven regulator.

About The Role
The Data Innovation Engineering Specialist will play a central role in shaping how the MFSA leverages advanced data analytics, machine learning (ML), and large language models (LLMs) to enhance the effectiveness and efficiency of its core regulatory functions.
This is a forward-looking, hands-on role ideal for a technically skilled and ambitious individual who is ready to contribute to transformative projects. You will work across teams to prototype and develop solutions that embed AI capabilities into the Authority’s most critical supervisory, enforcement, and operational processes.
Key Responsibilities include:
• 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.

About You 
As a Data Innovation Engineering Specialist you have:
•	Ability to prioritize and take a structured approach to getting things done.
•	A strong communicator comfortable engaging with teams across all levels.
•	Curious, analytical, and always looking for better ways to do things.
•	Resilient and comfortable in a fast-changing environment.
•	Experience applying machine learning and/or LLMs in practical settings.
•	Familiarity with tools and frameworks such as Python, scikit-learn, Hugging Face, TensorFlow, PyTorch, or similar.
•	Experience related to the financial industry is considered beneficial
You will also possess a minimum of five (5) years prior experience in a similar or related domain and an MQF Level 6 in Computer Science, Data Science, Artificial Intelligence, Engineering, or a relevant field duly certified by the Malta Qualifications Recognition Information Centre (MQRIC) or a widely recognised professional qualification at a comparable level. A master's in a similar discipline is a plus.
If you do not have the necessary academic or professional qualifications but you have at least ten (10) years of relevant experience. we would still be interested in speaking with you.&nbsp;

Other important information 
The MFSA is an Equal Opportunities Employer as certified by the NCPE (National Commission for the Protection of Equality) and is committed to a policy of equal opportunity in all aspects of employment and will take care to avoid any form of discrimination in its recruitment procedures. The MFSA reserves the right to withdraw this call at any time and not to select any of the Candidates.&nbsp;
It is the responsibility of applicants in possession of qualifications awarded by Universities and other similar institutions outside Malta to produce a recognition statement on comparability of qualifications issued by the Malta Qualifications Recognition Information Centre (MQRIC). Applicants should do so preferably at application stage or otherwise at the preliminary interview should an applicant be selected for such interview. Details can be obtained by accessing the National Commission for Further and Higher Education website on www.ncfhe.org.mt under MQRIC heading.&nbsp;
The MFSA shall ensure that any processing of personal data is in accordance with Regulation (EU) 2016/679 (General Data Protection Regulation), the Data Protection Act (Chapter 586 of the Laws of Malta) and any other relevant European Union and national law. For further details, you may refer to the <a href="https://www.mfsa.mt/privacy-notice/" target="_blank">Data Privacy Notice </a> on the MFSA webpage.&nbsp;
Candidates are to note that the submission of any false statement/s or omission, even if unintended, may lead to the cancellation of their application and may render the candidate’s appointment liable to termination.&nbsp;
Furthermore, please note that candidates may be asked to submit any documentation in support of the information provided, including but not limited to, proof of qualifications and Police Conduct Certificates.&nbsp;
Public Call Permit: 371/2025

Machine Learning (ML), AI Engineer, Data Science, Large Language Models (LLMs), NLP (Natural Language Processing), AI, M

Data Innovation Engineering Specialist - Salary  Annually

Data Innovation Engineering Specialist

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Data Innovation Engineering Specialist