Jobs at NatWest Group

Supports client and settlement instruction data management across onboarding, offboarding, trade execution, and client lifecycle events. Serves as a contact for static data queries, investigates and resolves data issues, improves processing, manages stakeholder expectations, and develops policies and procedures covering AML, KYC, and suitability. Requires financial services experience, analytical and communication skills, relationship management, and proficiency with Microsoft Office.

Engineer and maintain secure, high-performance software, scripts, tools, and IAM solutions across the full development lifecycle. Responsibilities include requirements analysis, architecture, coding, testing, deployment, operations, maintenance, and decommissioning. The role collaborates with engineers, architects, business analysts, and cross-functional Agile teams while delivering IAM integrations and troubleshooting authentication and access-management issues using PingFederate, PingAccess, OAuth, OIDC, SAML, SSO, and federation technologies.

Lead the Markets Data Management function and teams responsible for customer onboarding, reference data, offboarding, and lifecycle management. Improve operational efficiency, data quality, customer experience, risk controls, and cost management. Partner with stakeholders on strategic planning, process improvements, change management, and large-scale projects while fostering continuous improvement and operational excellence.

Engineers, tests, deploys, and maintains secure, scalable software, scripts, and tools across the full development lifecycle. Collaborates with engineers, architects, and business analysts in feature teams, contributing to requirements analysis, design, coding, testing, deployment, operations, automation, optimization, and software engineering best practices.

Supports quality assurance within feature teams by defining testable work, advising on test automation, executing continuous automated tests, analyzing results, prioritizing defects, and improving testing efficiency. The role requires functional and non-functional testing experience, Agile methodologies including TDD and BDD, SDLC knowledge, stakeholder collaboration, and the ability to connect technical quality practices to customer and business outcomes.

Designs and engineers customer-focused software and AI solutions for banking platforms. Responsibilities include defining architectures and roadmaps, developing scalable and secure software, implementing generative and agentic AI using AWS, building RAG and vector database solutions, tuning agent memory, implementing guardrails and tool calling, and establishing logging, monitoring, auditability, automation, and DevOps practices.

Principal Engineer responsible for designing and developing secure, scalable, high-performance software and AI solutions for banking platforms. The role involves architecture governance, software engineering, automation, DevOps, Agile delivery, and collaboration with architects and engineering teams. Key AI responsibilities include generative and agentic AI on AWS, RAG, vector databases, agent memory, context management, guardrails, tool calling, logging, monitoring, and auditability.

Software Engineer responsible for designing, developing, testing, deploying, maintaining, and decommissioning secure, high-performance software, scripts, and tools. The role works within feature teams across the full software lifecycle, collaborating with engineers, architects, business analysts, and stakeholders. Strong Java development expertise is required, including Java 17, Spring Boot, microservices, testing frameworks, databases, CI/CD tools, and cloud platforms.

Develop digital analytics insights, metrics, and business intelligence to improve customer journeys, engagement, conversion, personalization, and digital experiences. Advise stakeholders on data strategy, optimize campaigns, manage analytics and data platforms, translate requirements into measurement solutions, and collaborate with tagging developers. Provide training, coaching, and senior-level guidance while influencing business decisions through data-driven recommendations.