Data-Driven Compliance Assurance Analyst (Hybrid)

JOHN LEWIS; Greater London; Híbrido; GBP 40 000 - 50 000; Tempo integral

Resumo da oferta

JOHN LEWIS is seeking a data-focused Compliance Assurance Analyst to join the 2LoD Compliance Monitoring team in London. You will use MI, data analytics, and dashboards to provide independent oversight of regulatory compliance and conduct risk, with a primary focus on FCA Consumer Duty requirements.

This hybrid role supports evidence-based governance and proactive risk identification. The position involves continuous improvement of 2LoD oversight processes, data quality management, and

Qualificações

• Experience in MI and data analysis within a regulated financial services environment.
• Ability to design and develop dashboards using Tableau/Power BI.
• Strong problem-solving and root-cause analysis skills.
• Attention to data quality and governance across reporting.
• Knowledge of regulatory compliance frameworks and conduct standards.

Responsabilidades

• Data-led monitoring using complex datasets to identify trends and mitigate customer harm.
• Develop, maintain and automate assurance dashboards to track KPIs and KRIs.
• Support management reporting and translate findings into actionable insights.
• Ensure data governance and reconcile data sources for trusted analytics.
• Identify inefficiencies and drive continuous improvement in 2LoD processes.
• Engage in training to expand analytical capabilities and industry knowledge.

Conhecimentos

MI analysis

Dashboard design

Tableau/Power BI

Problem solving

Continuous improvement

Ferramentas

SQL

Descrição da oferta de emprego

JOHN LEWIS is seeking a data-focused Compliance Assurance Analyst to join the 2LoD Compliance Monitoring team in London. You will use MI, data analytics, and dashboards to provide independent oversight of regulatory compliance and conduct risk, with a primary focus on FCA Consumer Duty requirements.

This hybrid role supports evidence-based governance and proactive risk identification. The position involves continuous improvement of 2LoD oversight processes, data quality management, and