Top Tech Jobs & Startup Jobs in London

Lead end-to-end Life & Pensions transformation programs: define requirements, design target operating models, manage delivery (plans, governance, RAID, budgets), coordinate testing/UAT, and track benefits while aligning business and technology teams.

Manage end-to-end delivery of wealth and asset management transformation programmes, focusing on platform implementations, post-merger integration, and advisory/servicing model changes. Coordinate cross-functional teams, run governance and RAID processes, engage stakeholders, and ensure delivery within scope, timeline, and quality in Agile or hybrid environments.

Translate business needs into structured requirements to enable wealth platform and operations transformations. Gather and document business and data requirements, create user stories and manage product backlogs in Agile, map current and target operating models, define integration and data requirements, and work with technology teams and platform providers to ensure alignment between business and technical delivery.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.

Lead the development of scalable web applications using React, architect user interfaces, mentor developers, and establish frontend standards.

Design and build scalable, secure data pipelines (streaming and batch), drive CI/CD and automation, participate in cloud migration and architecture discussions, collaborate with clients, and mentor internal teams to deliver production-grade data solutions.

Lead architecture and implementation of scalable test automation frameworks for web and mobile. Design and maintain UI, API, performance, and accessibility tests; integrate tooling into CI/CD; manage cloud testing platforms; mentor engineers and shape organisation-wide testing strategy.

Lead and grow the Data Strategy & Advisory Practice in the Insurance domain, developing data strategies and transforming enterprise data solutions for clients.

Lead and deliver data architecture projects for financial services clients, define data strategies, and design scalable cloud platforms.

The Senior Data Modelling Consultant will design enterprise-grade data models, support data migrations, and enforce data governance standards for financial services clients.