At a Glance
- Tasks: Transform complex data into actionable insights and develop automated dashboards.
- Company: Join a leading organisation in the financial services sector with a focus on innovation.
- Benefits: Competitive salary, 10% bonus, hybrid work model, and opportunities for professional growth.
- Other info: Work in a collaborative team and advance your career in a fast-paced setting.
- Why this job: Make a real impact by driving data-driven decision-making in a dynamic environment.
- Qualifications: Experience in SQL, data analysis, and familiarity with regulatory frameworks required.
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, Dynamo DB, 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
