Data Analyst

• 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 and Decision Support: Develop Tableau dashboards, management information and self-service analytics for Supervision teams, moving towards reusable, automated reporting.
• Business Analysis and Stakeholder Engagement: Gather requirements, facilitate workshops and translate supervisory challenges into analytical solutions. Cohere disparate and conflicting business needs into workable plans through engagement and governance forums.
• Future State Capability: Support the move towards automated reporting, advanced analytics, continuous monitoring and early-warning indicators, building a mature supervisory intelligence capability, 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 and Decision Support: Develop Tableau dashboards, management information and self-service analytics for Supervision teams, moving towards reusable, automated reporting.

Business Analysis and Stakeholder Engagement: Gather requirements, facilitate workshops and translate supervisory challenges into analytical solutions. Cohere disparate and conflicting business needs into workable plans through engagement and governance forums.

Future State Capability: Support the move towards automated reporting, advanced analytics, continuous monitoring and early-warning indicators, building a mature supervisory intelligence capability.

• SQL and large-scale data analysis across complex, multi-source datasets.
• AWS services such as S3, DynamoDB, Athena, etc.
• Data visualisation and dashboarding in Tableau or Power BI.
• Data quality assessment, validation and improvement.
• Stakeholder management across business and technical audiences.
• Regulatory or financial services experience

Desirable Skills

• Familiarity with regulatory or financial data reporting regimes

Behavioral (Must Have)

• Highly proactive and self-driven - sets direction and momentum without close supervision.
• Strategically astute - operates across different business areas, building knowledge and relationships rapidly.
• Adaptable - pivots to address new challenges at short notice as contexts change.
• Data-fluent - experience driving data-focused projects with a solid grasp of common data challenges in large organisations.
• Coheres competing needs - reconciles disparate business requirements into deliverable plans via engagement, workshops and governance., SQL and large-scale data analysis across complex, multi-source datasets.

AWS services such as S3, DynamoDB, Athena, etc.

Data visualisation and dashboarding in Tableau or Power BI.

Data quality assessment, validation and improvement.

Stakeholder management across business and technical audiences.

Regulatory or financial services experience.

Desirable Skills

Familiarity with regulatory or financial data reporting regimes.

Behavioral (Must Have)

Highly proactive and self-driven - sets direction and momentum without close supervision.

Strategically astute - operates across different business areas, building knowledge and relationships rapidly.

Adaptable - pivots to address new challenges at short notice as contexts change.

Data-fluent - experience driving data-focused projects with a solid grasp of common data challenges in large organisations.

Coheres competing needs - reconciles disparate business requirements into deliverable plans via engagement, workshops and governance. Location London, UK