Job Summary The Senior Data Analyst supports the organisation''s objective of enhancing supervisory effectiveness through better use of entity and regulatory data. The role helps transform how Supervision teams identify risks, prioritise interventions and monitor firms, delivered through data-driven insights, dashboards, analytical tools and supervisory intelligence. It sits within a live testing programme for a regulatory data reporting regime. The analyst contributes to systems acceptance, firm feasibility and supervisory usability of the data being collected. The outcome is greater confidence in the regulatory data build through faster, more thorough testing. Key Responsibilities Supporting Supervisory Outcomes: Analyse risk indicators, alerts and supervisory insights to enable risk-based supervision and decision making. Regulatory Data Analysis: Analyse authorisation, holdings, transactions, legal entity and regulatory reporting data. Create integrated views across firms and entities so supervisors see a coherent picture rather than fragmented sources. Supervisory Intelligence and Risk Analytics: Identify trends, anomalies, concentrations and emerging risks. Support thematic reviews, quantitative investigations and synthesis of alerts. Data Quality and Improvement: Assess data quality, implement validation controls and validate legal entity identifiers (LEIs). Enrich core datasets using external sources such as GLEIF, Companies House and market data proxies. Reporting ..... full job details .....