Data Analytics Lead

GRADE: ASSISTANT MANAGER 

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The Section  

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The FIAU is seeking to strengthen its Data Management & Analytics section through the recruitment of a Product Owner. The section is tasked with:

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• The administration of the Centralised Bank Account Register (CBAR) - a data collection and retrieval system for information on bank accounts
• The management of data as an asset from which the FIAU can derive ongoing insight
• ​The analysis of data across different domains to support in the compilation of statistics and risk analysis

The Role

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As an Analytics Lead within the Data Management & Analytics section, the candidate will be responsible to take ownership of data analytics initiatives and other related projects. This may include: 

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• Design and maintain interactive dashboards and reports that meet user requirements through data visualisation tools
• Work closely with data engineers to define data requirements and optimise data pipelines
• Leverage statistical techniques to derive actionable insights, uncover data trends, and inform strategic decisions
• Develop a high-level understanding of ML/FT risks to maximise use of data within national and sectoral risk assessments
• Communicate data-driven insights and contextual information to a wide range of audiences
• Explore potential applications of AI and other advancements in analytics to improve business processes and decision-making through research, proof of concepts, and pilot projects
• Collaborate with the in-house technology team, system owners, and other stakeholders in line with section’s remit
• Provide direction and mentorship to direct reports and other team members as necessary
• Maintain up to date documentation to ensure clarity, support troubleshooting, and facilitate knowledge sharing

Qualifications & Requirements

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• An MQF Level 6 qualification in Computer Science, Data Science, Statistics, Analytics or other relevant fields, coupled with at least 5 years’ experience relevant to this post (including 1 year in a Senior role; or
• ​An MQF Level 5 qualification in  Computer Science, Data Science, Statistics, Analytics or other relevant fields coupled with at least 7 years’ work experience relevant to this post
• ​Advanced knowledge of analytical tools or languages, preferably Power BI and / or Python (including related libraries such as Pandas)
• ​Experience in the application of mathematics and statistics, including, modelling techniques such as regression and classification
• ​Experience working with large datasets
• ​Proficiency in AML/CFT principles, processes, and solutions
• ​Excellent communication and presentation skills
• ​Proficiency in AI and machine learning principles and use-cases
• ​Comfortable with SQL querying and database principles
• ​Experience in coaching and mentoring junior members of the team

We Offer:

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• Health & Life insurance group cover
• Work from home
• Sponsorship Training Scheme
• Training & Study Leave
• Family-friendly measures
• Team Building Events
• Free parking (first come first served)