The role involves supporting the Markets Data Risk team by developing a data analytics platform to improve data quality and reduce financial and non-financial risks. The individual will compile analysis of data quality indicators to support senior management decision-making and governance forums. Responsibilities include designing data and feature specifications while collaborating with technology partners to create high-impact reports and dashboards. The position requires planning and coordinating user acceptance testing for new analytics capabilities. Additionally, the role involves identifying and resolving risks and issues within a complex global organization.

The role requires at least eight years of relevant experience as a data analytics specialist, preferably within the banking or markets sector. Candidates must possess a comprehensive understanding of data modelling, including dimensional modelling for analytical warehouses, and data manipulation patterns. Proficiency in SQL, Tableau, and the Python ecosystem, specifically Pandas and NumPy, is essential. The position also demands strong analytical capabilities, attention to detail, and the ability to model complex financial instruments and risk data.