Data Governance Specialist ensuring accuracy and reliability in regulatory datasets at FCA. Implementing best practices, performing data analysis, and building dashboards.
Responsibilities
Implement and embed data quality best practices to ensure accuracy and reliability in regulatory datasets, strengthening compliance and stakeholder trust
Perform targeted data analysis to identify root causes of data issues, enabling timely remediation and reducing operational risk
Develop and maintain robust data management processes using industry governance standards to enhance resilience and data integrity
Design and sustain data quality frameworks for monitoring and control, empowering strategic decision-making with reliable insights
Produce actionable MI and benchmarking reports that highlight performance and trends, driving continuous improvement and competitive advantage
Collaborate with internal teams and external regulators to address shared data challenges, promoting a unified approach to supervision and policy development
Build automated dashboards and monitoring tools with Python, SQL, and Tableau to detect anomalies and trigger real-time remediation workflows, increasing efficiency
Requirements
Prior experience in Data Quality tooling and techniques in large organisations
Prior experience of data profiling and cleansing methods and tools
Strong understanding and practical experience of Data Quality concepts including business rules, Data Quality dimensions, metrics, profiling and remediation
Proven experience in wholesale markets or financial services delivering tailored data insights
Excellent stakeholder management skills with the ability to engage at all levels and present credible findings to achieve positive outcomes
Skilled in producing concise and persuasive written outputs and clearly communicating complex issues verbally in an accessible manner
Experienced in delivering Data Governance artefacts such as data dictionaries, business glossaries and lineage documentation
Proficient in troubleshooting data issues and providing effective root cause solutions
Capable of designing and delivering Data Quality dashboards
Benefits
25 days annual leave plus bank holidays
Hybrid model where employees work a minimum of 40% in the office each month (expectation of 50% for senior leaders).
Non-contributory pension (8–12% depending on age) and life assurance at eight times your salary
Private healthcare with Bupa, income protection, and 24/7 Employee Assistance
35 hours of paid volunteering annually
A flexible benefits scheme designed around your lifestyle
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