About the Role
A leading Professional Services firm is looking to hire a Finance Data Engineering & Analytics Lead to join their team. You will develop Python/PySpark-based data pipelines, build data models and datasets for finance, actuarial and risk reporting. You will also develop analytics, dashboards and data validation tooling. You will also support data quality monitoring and apply AI in delivery. KEY REQUIREMENTS: Strong Python capabilities Experience with Cloud Data Platforms is vital Exposure to Finance/Actuarial is essential Understanding of AI-enabled tooling is a necessity London Market Insurance experience is essential Be able to work independently and as part of a team.