SC - Data Analyst

• We transform complex regulatory and entity data into actionable insights and supervisory tools.
• We support a live testing programme for a new regulatory reporting regime.
• We lead systems acceptance, test firm feasibility, and improve data usability for supervisors.
• We analyse risk indicators, alerts, and insights to support risk-based supervision and decision-making.
• We synthesise datasets including authorisations, holdings, transactions, and regulatory reporting into cross-firm views.
• We identify market trends, anomalies, concentrations, and emerging risks to support reviews and investigations.
• We implement validation controls, verify Legal Entity Identifiers (LEIs), and enrich datasets with external sources such as GLEIF, Companies House, and market proxies.
• We build automated Tableau dashboards and management information to reduce manual tracking.
• We facilitate workshops, gather requirements, and translate supervisory challenges into analytical blueprints, alignment plans, and governance strategies.
• We develop continuous monitoring tools, predictive early-warning indicators, and automated reporting frameworks.

Technologies:

• AWS
• Support
• Power BI
• SQL
• Security
• Tableau
• Cloud
• Embedded, We are offering a hybrid Senior Data Analyst role based in London, working 3 days a week in the office on a permanent basis. The role is focused on improving supervisory effectiveness by turning regulatory data into practical intelligence for Supervision teams. The position offers a salary of £75,000 to £85,000 plus a 10% bonus.

• We need a candidate with active Security Clearance (SC) based in London.
• We need strong SQL skills and experience analysing large-scale, complex, multi-source datasets.
• We need experience with AWS services such as S3, DynamoDB, and Athena.
• We need experience with data visualisation and dashboarding tools such as Tableau or Power BI.
• We need experience in data quality assessment, validation, and improvement.
• We need strong stakeholder management skills across business and technical audiences.
• We need regulatory, financial services, or financial data reporting regime experience.
• We value self-driven leadership, strategic agility, adaptability, data fluency, and conflict resolution skills.