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As a Data Analyst, you will analyze data, optimize processes, and manage data quality, focusing on transformation projects in financial services.

Lead US regional financial reporting and controls, own month/quarter/year-end close, provide variance analysis, support audits, partner with global finance and cross-functional teams for forecasting, tax reporting, and process improvements to ensure GAAP-compliant financial integrity.

Lead delivery of an Insider Risk Controls Program for a financial services client: manage integrated program plans, budgets, risks, governance, and cross-functional stakeholder engagement across cybersecurity, fraud, AML, compliance and technology, ensuring regulatory and audit readiness and successful implementation of controls.

As a Data Analyst, you will analyze data, optimize business processes, and support transformation projects for major banks. Collaboration in an agile team is key.

Design, build, train, and deploy AI/GenAI models (NLP and computer vision). Move research models into production via APIs/microservices/cloud, optimize performance, handle large datasets, and collaborate with data scientists and engineers to align solutions with business objectives.

Lead platform change and migration programmes for wealth, asset management, and banking clients. Deliver end-to-end strategic or regulatory change across workstreams, own governance, tracking and reporting, and drive stakeholder alignment. Leverage approved AI tools and automation to improve delivery while ensuring validation, auditability and compliance. Support change adoption, training, and business readiness.

As a Principal Backend Engineer, you will build scalable backend services with Java, design APIs, implement microservices, and work with AWS cloud technologies.

As a Senior Azure Data Engineer, you'll design and deploy data engineering pipelines using Databricks on Azure, collaborate with clients, and implement best practices in a consulting environment.

Lead architecture and delivery of data solutions on Databricks within Azure, ensuring best practices in data pipeline design and implementation.

The role involves designing and building data pipelines using AWS technologies, leading projects, and mentoring junior engineers in a data engineering context for financial services.