SC - Data Analyst
Posted on Jul 8, 2026 by CV-Library
Greater London, United Kingdom
IT
Immediate Start
£75k - £85k Annual
Full-Time
Role- Hybrid Senior Data Analyst – London – 3 days a week in the office
Looking for a hybrid Senior Data Analyst with active security clearance, (SC), based in London paying £75,000 to £80,000 + 10% bonus to drive supervisory effectiveness by transforming entity and regulatory data into actionable insights. Embedded within a live testing programme for a new regulatory reporting regime, the role equips Supervision teams with the dashboards, analytical tools, and intelligence needed to identify risks, prioritise interventions, and monitor firms effectively.
Key Responsibilities & Impact:
* Data Transformation: Translates complex regulatory data into high-impact insights and supervisory tools.
* Programme Testing: Ensures the robust delivery of the new reporting regime by leading systems acceptance, testing firm feasibility, and optimizing data usability for supervisors.
* Quality Assurance: Accelerates and deepens the testing process, delivering greater organizational confidence in the final regulatory data build.
Key Responsibility
* Supervisory Outcomes: Analyse risk indicators, alerts, and insights to enable agile, risk-based supervision and data-driven decision-making.
* Regulatory Data Integration: Synthesise complex datasets—including authorisations, holdings, transactions, and regulatory reporting—into cohesive, cross-firm views that replace fragmented data sources.
* Risk Analytics & Intelligence: Identify market trends, anomalies, concentrations, and emerging risks to drive thematic reviews, quantitative investigations, and alert triage.
* Data Quality & Enrichment: Implement robust validation controls and verify Legal Entity Identifiers (LEIs). Enrich core datasets by integrating external sources like GLEIF, Companies House, and market proxies.
* Reporting & Automation: Build automated, self-service Tableau dashboards and management information (MI) to transition Supervision teams away from manual tracking.
* Stakeholder Engagement & BA: Facilitate workshops to gather requirements and translate complex supervisory challenges into clear analytical blueprints, alignment plans, and governance strategies.
* Future-State Capability: Advance the organisation's analytics maturity by developing continuous monitoring tools, predictive early-warning indicators, and automated reporting frameworks.
Skills
* 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.
* Familiarity with regulatory or financial data reporting regimes.
Personal Skills
* Self-Driven Leadership: Highly proactive and self-directed; establishes strategic direction, maintains momentum, and delivers results with minimal supervision.
* Strategic Agility: Operates seamlessly across diverse business areas, rapidly absorbing domain knowledge and building cross-functional relationships.
* Adaptability: Pivots fluidly to address emerging challenges and shifting organizational priorities at short notice.
* Data Fluency: Tracks record of driving complex, data-focused initiatives with a deep understanding of data governance, quality challenges, and architecture in large organizations.
* Conflict Resolution & Alignment: Reconciles competing stakeholder priorities and disparate business requirements into unified, deliverable roadmaps via targeted engagement, workshops, and governance forums.
Role - Hybrid Senior Data Analyst – London – 3 days a week in the office
Location - London
Type – Permanent
Salary - £75,000 to £85,000 + 10% Bonus
Looking for a hybrid Senior Data Analyst with active security clearance, (SC), based in London paying £75,000 to £80,000 + 10% bonus to drive supervisory effectiveness by transforming entity and regulatory data into actionable insights. Embedded within a live testing programme for a new regulatory reporting regime, the role equips Supervision teams with the dashboards, analytical tools, and intelligence needed to identify risks, prioritise interventions, and monitor firms effectively.
Key Responsibilities & Impact:
* Data Transformation: Translates complex regulatory data into high-impact insights and supervisory tools.
* Programme Testing: Ensures the robust delivery of the new reporting regime by leading systems acceptance, testing firm feasibility, and optimizing data usability for supervisors.
* Quality Assurance: Accelerates and deepens the testing process, delivering greater organizational confidence in the final regulatory data build.
Key Responsibility
* Supervisory Outcomes: Analyse risk indicators, alerts, and insights to enable agile, risk-based supervision and data-driven decision-making.
* Regulatory Data Integration: Synthesise complex datasets—including authorisations, holdings, transactions, and regulatory reporting—into cohesive, cross-firm views that replace fragmented data sources.
* Risk Analytics & Intelligence: Identify market trends, anomalies, concentrations, and emerging risks to drive thematic reviews, quantitative investigations, and alert triage.
* Data Quality & Enrichment: Implement robust validation controls and verify Legal Entity Identifiers (LEIs). Enrich core datasets by integrating external sources like GLEIF, Companies House, and market proxies.
* Reporting & Automation: Build automated, self-service Tableau dashboards and management information (MI) to transition Supervision teams away from manual tracking.
* Stakeholder Engagement & BA: Facilitate workshops to gather requirements and translate complex supervisory challenges into clear analytical blueprints, alignment plans, and governance strategies.
* Future-State Capability: Advance the organisation's analytics maturity by developing continuous monitoring tools, predictive early-warning indicators, and automated reporting frameworks.
Skills
* 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.
* Familiarity with regulatory or financial data reporting regimes.
Personal Skills
* Self-Driven Leadership: Highly proactive and self-directed; establishes strategic direction, maintains momentum, and delivers results with minimal supervision.
* Strategic Agility: Operates seamlessly across diverse business areas, rapidly absorbing domain knowledge and building cross-functional relationships.
* Adaptability: Pivots fluidly to address emerging challenges and shifting organizational priorities at short notice.
* Data Fluency: Tracks record of driving complex, data-focused initiatives with a deep understanding of data governance, quality challenges, and architecture in large organizations.
* Conflict Resolution & Alignment: Reconciles competing stakeholder priorities and disparate business requirements into unified, deliverable roadmaps via targeted engagement, workshops, and governance forums.
Role - Hybrid Senior Data Analyst – London – 3 days a week in the office
Location - London
Type – Permanent
Salary - £75,000 to £85,000 + 10% Bonus
Reference: 225344714
https://jobs.careeraddict.com/post/113528306
SC - Data Analyst
Posted on Jul 8, 2026 by CV-Library
Greater London, United Kingdom
IT
Immediate Start
£75k - £85k Annual
Full-Time
Role- Hybrid Senior Data Analyst – London – 3 days a week in the office
Looking for a hybrid Senior Data Analyst with active security clearance, (SC), based in London paying £75,000 to £80,000 + 10% bonus to drive supervisory effectiveness by transforming entity and regulatory data into actionable insights. Embedded within a live testing programme for a new regulatory reporting regime, the role equips Supervision teams with the dashboards, analytical tools, and intelligence needed to identify risks, prioritise interventions, and monitor firms effectively.
Key Responsibilities & Impact:
* Data Transformation: Translates complex regulatory data into high-impact insights and supervisory tools.
* Programme Testing: Ensures the robust delivery of the new reporting regime by leading systems acceptance, testing firm feasibility, and optimizing data usability for supervisors.
* Quality Assurance: Accelerates and deepens the testing process, delivering greater organizational confidence in the final regulatory data build.
Key Responsibility
* Supervisory Outcomes: Analyse risk indicators, alerts, and insights to enable agile, risk-based supervision and data-driven decision-making.
* Regulatory Data Integration: Synthesise complex datasets—including authorisations, holdings, transactions, and regulatory reporting—into cohesive, cross-firm views that replace fragmented data sources.
* Risk Analytics & Intelligence: Identify market trends, anomalies, concentrations, and emerging risks to drive thematic reviews, quantitative investigations, and alert triage.
* Data Quality & Enrichment: Implement robust validation controls and verify Legal Entity Identifiers (LEIs). Enrich core datasets by integrating external sources like GLEIF, Companies House, and market proxies.
* Reporting & Automation: Build automated, self-service Tableau dashboards and management information (MI) to transition Supervision teams away from manual tracking.
* Stakeholder Engagement & BA: Facilitate workshops to gather requirements and translate complex supervisory challenges into clear analytical blueprints, alignment plans, and governance strategies.
* Future-State Capability: Advance the organisation's analytics maturity by developing continuous monitoring tools, predictive early-warning indicators, and automated reporting frameworks.
Skills
* 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.
* Familiarity with regulatory or financial data reporting regimes.
Personal Skills
* Self-Driven Leadership: Highly proactive and self-directed; establishes strategic direction, maintains momentum, and delivers results with minimal supervision.
* Strategic Agility: Operates seamlessly across diverse business areas, rapidly absorbing domain knowledge and building cross-functional relationships.
* Adaptability: Pivots fluidly to address emerging challenges and shifting organizational priorities at short notice.
* Data Fluency: Tracks record of driving complex, data-focused initiatives with a deep understanding of data governance, quality challenges, and architecture in large organizations.
* Conflict Resolution & Alignment: Reconciles competing stakeholder priorities and disparate business requirements into unified, deliverable roadmaps via targeted engagement, workshops, and governance forums.
Role - Hybrid Senior Data Analyst – London – 3 days a week in the office
Location - London
Type – Permanent
Salary - £75,000 to £85,000 + 10% Bonus
Looking for a hybrid Senior Data Analyst with active security clearance, (SC), based in London paying £75,000 to £80,000 + 10% bonus to drive supervisory effectiveness by transforming entity and regulatory data into actionable insights. Embedded within a live testing programme for a new regulatory reporting regime, the role equips Supervision teams with the dashboards, analytical tools, and intelligence needed to identify risks, prioritise interventions, and monitor firms effectively.
Key Responsibilities & Impact:
* Data Transformation: Translates complex regulatory data into high-impact insights and supervisory tools.
* Programme Testing: Ensures the robust delivery of the new reporting regime by leading systems acceptance, testing firm feasibility, and optimizing data usability for supervisors.
* Quality Assurance: Accelerates and deepens the testing process, delivering greater organizational confidence in the final regulatory data build.
Key Responsibility
* Supervisory Outcomes: Analyse risk indicators, alerts, and insights to enable agile, risk-based supervision and data-driven decision-making.
* Regulatory Data Integration: Synthesise complex datasets—including authorisations, holdings, transactions, and regulatory reporting—into cohesive, cross-firm views that replace fragmented data sources.
* Risk Analytics & Intelligence: Identify market trends, anomalies, concentrations, and emerging risks to drive thematic reviews, quantitative investigations, and alert triage.
* Data Quality & Enrichment: Implement robust validation controls and verify Legal Entity Identifiers (LEIs). Enrich core datasets by integrating external sources like GLEIF, Companies House, and market proxies.
* Reporting & Automation: Build automated, self-service Tableau dashboards and management information (MI) to transition Supervision teams away from manual tracking.
* Stakeholder Engagement & BA: Facilitate workshops to gather requirements and translate complex supervisory challenges into clear analytical blueprints, alignment plans, and governance strategies.
* Future-State Capability: Advance the organisation's analytics maturity by developing continuous monitoring tools, predictive early-warning indicators, and automated reporting frameworks.
Skills
* 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.
* Familiarity with regulatory or financial data reporting regimes.
Personal Skills
* Self-Driven Leadership: Highly proactive and self-directed; establishes strategic direction, maintains momentum, and delivers results with minimal supervision.
* Strategic Agility: Operates seamlessly across diverse business areas, rapidly absorbing domain knowledge and building cross-functional relationships.
* Adaptability: Pivots fluidly to address emerging challenges and shifting organizational priorities at short notice.
* Data Fluency: Tracks record of driving complex, data-focused initiatives with a deep understanding of data governance, quality challenges, and architecture in large organizations.
* Conflict Resolution & Alignment: Reconciles competing stakeholder priorities and disparate business requirements into unified, deliverable roadmaps via targeted engagement, workshops, and governance forums.
Role - Hybrid Senior Data Analyst – London – 3 days a week in the office
Location - London
Type – Permanent
Salary - £75,000 to £85,000 + 10% Bonus
Reference: 225344714
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