Fraud Analyst jobs in United Kingdom

• Data Quality Monitoring: Design, implement, and maintain data profiling, cleaning, and validation processes tailored to financial data sets. Develop automated quality checks and dashboards to continuously monitor data integrity and performance.
• Issue Identification & Resolution: Conduct in-depth root cause analysis to identify data anomalies, inconsistencies, and gaps. Collaborate with IT, data engineering, risk management, and compliance teams to resolve data issues and improve overall data governance.
• Process Improvement: Define and implement data quality standards and best practices in line with regulatory requirements (e.g., GDPR, PCI-DSS). Propose and lead initiatives to optimise data workflows and streamline data management processes.
• Reporting & Communication: Generate comprehensive data quality reports and visualisations to inform senior management and key stakeholders. Translate complex data quality metrics into actionable insights for non-technical teams.
• Data Governance & Compliance: Work alongside data stewards and data owners to ensure adherence to established data policies and procedures. Support audits and compliance checks by providing accurate and well‑documented data quality documentation.

• Bachelor's degree in Computer Science, Information Systems, Finance, Data Analytics, or a related field.
• 3+ years of experience in data quality management, data governance, or a data analysis role, preferably within a financial services environment.
• Hands‑on experience with Snowflake leveraging its data warehousing capabilities to design, test, and maintain high‑quality datasets.
• Strong SQL skills and familiarity with data manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI) and data quality/orchestration software.
• Knowledge of ETL processes and modern data warehousing concepts.
• Exceptional attention to detail with strong analytical and problem‑solving abilities.
• Excellent communication and interpersonal skills to liaise effectively with diverse teams.
• Proven ability to work autonomously and as part of a collaborative team.

• Experience with cloud‑based data platforms (e.g., AWS, Azure, or Google Cloud).
• Prior exposure to data governance frameworks and regulatory requirements in the UK financial sector.
• Relevant certifications in data management or analytics (e.g., CDMP, DAMA).

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Permanent