NatWest Group

Join our digital revolution in NatWest Digital X In everything we do, we work to one aim. To make digital experiences which are effortless and secure. So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter. Job description This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom. Join us as a Senior Java Software Engineer This is an opportunity for a technically minded individual to join us as a Senior Java Software Engineer You'll be designing, producing, testing and implementing working software, working across the lifecycle of the system Hone your existing software engineering skills and advance your career in this critical role You'll work from home some of the time, but you'll spend at least one day a week working from our Manchester office What you'll do Working in a permanent feature team, you'll be developing knowledge of aspects of the associated platform across the disciplines of business, applications, data and infrastructure. You'll also be liaising with principal engineers, architects in the domain and other key stakeholders to understand how the platform works and how it supports business objectives. You'll also be: Applying Agile methods to the development of software on the backlog Producing resilient and long-lived software and acting flexibly to cope with future needs Delivering intentional architecture and formulating emergent design through innovative ideas, experimentation and prototyping Designing and developing software with a focus on the automation of build, test and deployment activities, using executable patterns Applying knowledge on Microservices, Kubernetes and Cloud Technologies The skills you'll need We're looking for someone with strong full stack experience in software design and implementation, including being able to exploit programming languages to solve complex problems. You'll also need to be capable of complex requirements analysis capture and validation against and with business and systems requirements. Additionally, you'll demonstrate: Experience of leading the implementation of programming best practice, especially around scalability, automation, virtualisation, optimisation, availability and performance Strong Experience in Microservices, Observability and Cloud Technology specifically AWS Hands-on experience in Spring, Springboot and Dockers Sound collaboration skills with the ability to work with business teams to produce pragmatic solutions that work for the business Experience of information security policies and practices within the financial sector Strong stakeholder management skills and communication skills with the ability to communicate complex technical concepts in a simple way

Join our digital revolution in NatWest Digital X In everything we do, we work to one aim. To make digital experiences which are effortless and secure. So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter. Job description This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom. Join us as a Data Engineer This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences You'll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers' and the bank's data safe and secure Participating actively in the data engineering community, you'll deliver opportunities to support the bank's strategic direction while building your network across the bank What you'll do As a Data Engineer, you'll play a key role in driving value for our customers by building data solutions. You'll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. You'll also be: Developing comprehensive knowledge of the bank's data structures and metrics, advocating change where needed for product development Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers The skills you'll need To be successful in this role, you'll need a strong understanding of how data is used across teams and by end customers, with experience of extracting value and features from large scale datasets. You'll also have expertise in data integration, transformation, and orchestration within the Informatica Intelligent Data Management Cloud (IDMC) environment, combined with strong SQL skills and experience working with cloud platforms such as AWS, Azure or GCP. You'll also demonstrate deep technical expertise in : Entity Resolution, including fuzzy matching, deterministic matching and machine learning-based matching techniques to identify and link records across multiple data sources Designing and delivering data ingestion and integration solutions using Informatica IDMC, including Cloud Data Integration, Cloud Application Integration, APIs and real-time or batch processing patterns Configuring and managing match rules, survivorship rules and clustering logic, while integrating Entity Resolution with Data Quality and downstream applications Implementing data quality frameworks to improve data accuracy, consistency and completeness before data is consumed by downstream systems ETL solution design, data quality testing, data cleansing, monitoring, data warehousing and data modelling Modern software and data engineering practices, including programming languages, secure and scalable development approaches, and the ability to communicate effectively with a wide range of stakeholders

Job description This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom. Join us as a Performance & Business Management Analyst Take on a role with great career development potential and harness your analytical talents We'll look to you to utilise your specialist knowledge and provide insightful analysis and understand the impact to the business You'll be providing analysis and recommendations for leadership teams, which will inform business decision-making and support our long term goals We're offering this role for a period of 12 months What you'll do As a Performance & Business Management Analyst, you'll be using multiple sources of information, such as customer insights, colleague feedback, markets insights and relevant business operational data to provide analysis. Your responsibilities will include: Financial and headcount reporting including monthly cost report checking, monthly forecasting, budget setting, cost control initiatives, business cases, provision of local analysis intelligence and commentary People planning, including capability, engagement and communications Engaging and influencing stakeholders to make sure that the best outcomes are delivered for the business Delivering recommendations and decisions required to improve business performance Reviewing relevant MI and providing ad-hoc analysis of data The skills you'll need We're looking for someone with experience in a business management, planning or operational support role. You'll need a strong understanding of Commercial and Institutional (C&I) Operations, how it operates and how it interacts with the wider Chief Operating Office (COO) and C&I businesses. We'll also look to you to demonstrate: Strong analytical and problem-solving skills, using data, judgement and business knowledge to develop practical solutions Hands-on workforce and financial planning experience, including use of Workday and Adaptive Planning The ability to build trusted relationships with senior stakeholders, anticipate requirements, manage upwards effectively and provide clear, practical advice Strong communication skills, with the ability to translate complex information into concise insight and recommendations

Join our digital revolution in NatWest Digital X In everything we do, we work to one aim. To make digital experiences which are effortless and secure. So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter. Job description This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom. Join us as a Data Scientist, PBWM In this role, you'll drive and embed the design and implementation of data science tools and methods, which harness our data to drive market-leading purpose customer solutions Day-to-day, you'll act as a subject matter expert and articulate advanced data and analytics opportunities, bringing them to life through data visualisation If you're ready for a new challenge, and are interested in identifying opportunities to support external customers by using your data science expertise, this could be the role for you You'll work from home some of the time, but you'll also spend at least twice a week working from our Edinburgh or London office What you'll do We're looking for someone to understand the requirements and needs of our business stakeholders. You'll develop good relationships with them, form hypotheses, and identify suitable data and analytics solutions to meet their needs and to achieve our business strategy. You'll be maintaining and developing external curiosity around new and emerging trends within data science, keeping up to date with emerging trends and tooling and sharing updates within and outside of the team. You'll also be responsible for: Proactively bringing together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques, and algorithms Implementing ethically sound models end-to-end and applying software engineering and a product development lens to complex business problems Working with and leading both direct reports and wider teams in an Agile way within multi-disciplinary data to achieve agreed project and Scrum outcomes Using your data translation skills to work closely with business stakeholders to define business questions, problems or opportunities that can be supported through advanced analytics Selecting, building, training, and testing complex machine models, considering model valuation, model risk, governance, and ethics throughout to implement and scale models The skills you'll need To be successful in this role, you'll need evidence of project implementation and work experience gained in a data-analysis-related field as part of a multi-disciplinary team. We'll also expect you to hold an undergraduate or a master's degree in a quantitative discipline, or evidence of equivalent practical experience. You'll also need experience with statistical software, database languages, big data technologies, cloud environments and machine learning on large data sets, along with e xperience of developing and managing the full model development life cycle of machine learning and AI products from concept to production. We'll also look to you to bring the ability to demonstrate leadership, self-direction and a willingness to both teach others and learn new techniques. Additionally, you'll need: Demonstratable capability to deliver complex technical solutions aligned with business objectives and effectively communicate methodologies and outcomes in an accessible manner to non-technical stakeholders, exemplifying organisational change Strong understanding of statistical models including, LASSO, Ridge, and Elastic Net, along with how they can be leveraged to drive pricing strategies of financial products, simulation techniques and core concepts of deep learning and Bayesian statistics are also required Expertise in developing Gen AI, Agentic AI tools for chat bots in addition to understanding workflows and evaluation methods to measure and monitor performance at scale Managing ML, AI models in production with experience of CI/CD, DevOps, and model monitoring with strong risk management and governance awareness Experience with cloud technology such as AWS and fluency with python and SQL Ability to self-manage, take initiative and demonstrate a proactive approach to work Effective verbal and written communication skills and the ability to adapt communication style to a specific audience