NatWest Group

Compliance Data Analyst

In short

This role builds data-driven analytics and dashboards to identify and monitor compliance, conduct, and regulatory risks for a financial services organisation. It sits within a Compliance Data Analytics team that works with compliance stakeholders to automate processes and support risk-based decision-making. It requires SQL and Python (including Plotly) experience, work with large datasets in cloud environments, and financial services knowledge. The role is hybrid, based in London.

About the team
The Compliance Data Analytics team transforms compliance through data, automation, and predictive insight, helping the organisation proactively identify and manage regulatory and conduct risks.
Responsibilities
•Develop data-driven insights and analytics solutions to identify and monitor conduct, compliance, and regulatory risks
•Work with compliance stakeholders to define questions, problems, and opportunities that can be addressed through advanced analytics
•Design efficient, simple, and automated processes
•Deliver data and analytics solutions that enhance regulatory compliance, strengthen risk oversight, and support informed decision-making
•Communicate data and analytics opportunities and help compliance stakeholders select approaches suited to business needs
•Use new tools, technologies, and methodologies to conduct advanced analytics
•Design intuitive dashboards, metrics, and management information for risk-based decision-making and oversight
•Share relevant updates with stakeholders, connecting advanced analytics, data science, and data engineering work to business needs
Requirements
•Passion for data and analytics
•Knowledge of data architecture, key tooling, and relevant coding languages
•Proficiency in advanced analytics and ability to create clear visualisations and compelling insights
•Good financial services knowledge and ability to identify wider business impact, risks, and opportunities
•Strong knowledge of data management principles
•Experience working with large datasets in cloud-based data environments
•Experience using SQL to extract, manipulate, and analyse data, including gathering, cleaning, and transforming data from multiple sources
•Experience using Python for data preparation, analysis, and visualisation, including Plotly, and exposure to JavaScript
•Dashboard design and data visualisation experience and best practices
•Knowledge of data engineering, data science, and decisioning disciplines
•Strong communication skills and ability to engage stakeholders and translate data into key insights
Location
London, England, United Kingdom

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