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Support wealth platform and operations transformation by gathering and documenting business and data requirements, creating user stories and backlogs, mapping current and target operating models, defining integration and data needs, and collaborating with stakeholders and platform providers to ensure aligned technical delivery.

Lead and deliver post-merger integration programmes across Wealth & Asset Management operations and technology, focusing on Day 1 readiness, platform and book migration, and operating model alignment. Manage agile workstreams, governance, stakeholder engagement, and embed regulatory considerations to ensure operational continuity and sustainable transformation outcomes.

The Senior Product Designer will lead the creation of user-centric digital products, focusing on UX, UI, and AI integration in financial services and energy.

Partner with financial services clients to identify, design, and deliver AI-enabled use cases (GPT, Copilot, generative AI) across operations, product, and compliance. Lead workshops, stakeholder engagement, implementation coordination, testing and change adoption to scale responsible AI capabilities within regulated environments.

Lead AI product strategy and delivery for Credit Risk: drive discovery, prioritize use cases, own end-to-end product lifecycle, act as Product Owner in agile teams, collaborate with data science and engineering, ensure AI governance/model risk compliance, and engage stakeholders across credit, lending, and compliance.

The Project Manager leads banking and financial institution projects, managing scope, budget, risks, and stakeholder relationships to ensure successful delivery.

As a Functional Analyst, you will translate business requirements into functional designs, liaise with technical teams, create test scenarios, and ensure solutions meet client needs.

The Business Analyst will support the Trading Wind Down programme by managing project milestones, collaborating with stakeholders, tracking activities, and generating reports.

Lead AI transformation for wealth and asset management clients: define AI adoption strategy, identify use cases, oversee multidisciplinary delivery, ensure governance, risk and compliance, and drive commercialisation and capability building across programs using GPT, Copilot and enterprise AI tools.

Deliver platform transformation programmes for wealth, asset and banking clients. Lead implementation, integration, migration, testing and deployment activities. Gather and document business and technical requirements, optimise operating models and workflows, support data migration and system integration, and act as trusted advisor to stakeholders, vendors and project leadership.