WTW

Description WTW is seeking a Cloud Platform Engineer -AWS to design, build, and operate the enterprise-scale Amazon Web Services (AWS) compute platform that supports our global business services. In this role, you will deliver secure, scalable, and highly automated cloud services through Infrastructure as Code, platform standards, governance controls, and operational excellence practices. You will join a platform engineering team that runs a mature multi-cloud environment, partnering closely with Azure platform and application teams to deliver consistent outcomes across clouds. The ideal candidate brings deep, hands-on AWS expertise, strong automation skills, and a security-first mindset. Working experience with Microsoft Azure is a strong advantage. The role offers a remote working arrangement and is open to candidates across the UK, with London or Ipswich serving as the primary office locations. The Role: Engineer and operate a large-scale, multi-account AWS environment governed through AWS Organizations, organizational units (OUs), and AWS Control Tower. Design, implement, and manage AWS compute infrastructure, including Amazon EC2, Auto Scaling groups, Elastic Load Balancing, Amazon EBS, and standardized machine images (AMIs) built with EC2 Image Builder. Partner with network and security teams on foundational services such as Amazon VPC, AWS Transit Gateway, security groups, and Amazon Route 53 to ensure secure, reliable workload connectivity. Implement and maintain cloud security services, including AWS Security Hub, Amazon GuardDuty, Amazon Inspector, AWS KMS, AWS Secrets Manager, and IAM roles and instance profiles, while driving vulnerability remediation and platform hardening. Automate provisioning, configuration, and ongoing support using Terraform, AWS CloudFormation or AWS CDK, the AWS CLI, Python, and PowerShell. Manage server fleets at scale with AWS Systems Manager, including Patch Manager, State Manager, Session Manager, and Run Command. Enforce governance standards across the AWS estate, including landing zone design, Service Control Policies (SCPs), AWS Config rules, IAM and IAM Identity Center access models, tagging policies, account vending, and compliance controls. Ensure the resilience and recoverability of compute workloads through high-availability design, AWS Backup, and disaster recovery solutions such as AWS Elastic Disaster Recovery. Optimize cloud resources for performance, cost, and availability using Amazon CloudWatch, AWS CloudTrail, AWS Cost Explorer, AWS Budgets, AWS Compute Optimizer, and Savings Plans. Collaborate with DevOps and application teams to support CI/CD pipelines, containerized workloads (Amazon ECS, Amazon EKS, AWS Fargate), and serverless and managed services such as AWS Lambda. Promote multi-cloud consistency by aligning AWS standards, tooling, and operating practices with the existing Azure platform where appropriate. Resolve support tickets and troubleshoot complex platform issues promptly, performing root cause analysis to prevent recurrence. Document processes, procedures, and infrastructure designs to promote knowledge sharing and continuous improvement. Stay current with AWS service releases and industry trends and recommend improvements to the platform roadmap. Qualifications What you'll bring: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience. Demonstrated expertise in cloud infrastructure, with practical experience building and operating production workloads within AWS. Strong understanding of IaaS server management on AWS, including high availability, monitoring, backup, and disaster recovery. Solid knowledge of Windows Server security baselines (e.g., CIS Benchmarks) and configuration management practices. Experience with Terraform in a production environment. Working knowledge of AWS identity and governance, including IAM, AWS Organizations, and Service Control Policies. Understanding of CI/CD tools and concepts (e.g., GitHub Actions, Azure DevOps, AWS CodePipeline). Proficiency in scripting with Python and/or PowerShell. Hands-on experience with Microsoft Azure (e.g., virtual machines, Management Groups, Azure Policy, Defender for Cloud) and with operating in multi-cloud environments. Experience with GitHub Enterprise. Familiarity with additional Infrastructure as Code tools, such as AWS CloudFormation, AWS CDK, Bicep, or ARM templates. Experience managing hybrid and on-premises servers through AWS Systems Manager, or through Azure Arc and OSConfig. Experience with vulnerability management programs and tooling. Experience administering Linux servers in AWS. Basic understanding of AI/ML operational concepts, model lifecycle management, and supporting cloud infrastructure (e.g., Amazon SageMaker, Amazon Bedrock). Experience working within DevOps and Agile delivery models. AWS certifications such as AWS Certified CloudOps Engineer - Associate (formerly SysOps Administrator - Associate), Solutions Architect - Associate or Professional, DevOps Engineer - Professional, or Security - Specialty. Azure certifications (e.g., AZ-104, AZ-305) are a plus. Preferred Experience, Skills, and Qualifications: Soft Skills: Ability to influence technical direction across globally distributed teams. Strong analytical and troubleshooting skills, with a methodical approach to complex problems. Clear, effective communication with both technical and non-technical stakeholders. Commitment to continuous improvement and operational excellence. Sound judgment in balancing governance, security, reliability, and delivery speed. What we offer: Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email

Description Join the Business Information Security Office (BISO) team as a Security Analyst, supporting the Risk & Broking business. In this role, you will provide cyber security reporting, risk analysis, vulnerability management support and security insights, helping the business make informed security decisions. Working closely with Security, Technology, Risk, Audit and Business stakeholders, you will help identify trends, monitor cyber risk exposure, support vulnerability management activities, and deliver high-quality reporting and presentations for both technical and non-technical audiences. This is an ideal opportunity for someone with strong analytical and communication skills who is keen to develop their career within The Role Cyber Security Reporting & Analytics Develop and maintain cyber security and technology risk dashboards, metrics, and reporting. Produce executive-level reporting packs, management information, and presentations for senior leadership and governance forums. Analyse trends across vulnerabilities, incidents, risks, audits, remediation programmes, and control effectiveness. Identify emerging themes, areas of concern, and opportunities for improvement. Support regulatory, client, audit, and compliance reporting requirements. Track remediation activities and key actions, providing insight into progress and risk exposure. Create meaningful visualisations and presentations that communicate complex technical information in a clear, concise, and business-focused manner. Drive continuous improvement in reporting, visualisation, automation, and management information capabilities. Work with stakeholders across Security, Technology, and Risk functions to improve data quality and reporting outcomes. Cyber Risk & Vulnerability Management Support the identification, assessment, and management of cyber security risks across the Risk & Broking business. Assist with maintaining risk registers and tracking risk treatment activities. Support vulnerability identification, prioritisation, remediation tracking, and reporting. Monitor and report on security metrics, key risk indicators, and remediation performance. Contribute to initiatives that improve the organisation's overall security posture and reduce cyber risk exposure. BISO Support & Security Governance Support the BISO team in providing cyber security oversight and guidance to the Risk & Broking business. Assist with security reviews, governance activities, risk assessments, and business engagement. Prepare materials for governance forums, leadership meetings, and risk committees. Support audit, compliance, and assurance activities where required. Promote cyber security awareness and security best practices throughout the business. AI & Continuous Improvement Utilise AI tools and technologies to enhance reporting, analysis, research, and operational efficiency. Identify opportunities to automate manual reporting and analytical processes. Contribute to continuous improvement initiatives across cyber security, reporting, and governance activities. Qualifications What you'll bring Strong analytical and problem-solving skills. Experience working with data, reporting, and visualisation tools such as Power BI and Microsoft Excel. Ability to identify trends and extract meaningful insights from large datasets. Strong reporting, dashboarding, and management information skills. Excellent written and verbal communication skills. Strong PowerPoint and executive presentation skills. Ability to create high-quality presentations and communicate complex information to a range of audiences. High attention to detail and commitment to data quality. Ability to engage confidently with both technical and non-technical stakeholders. Understanding of cyber security principles and cyber risk management concepts. Understanding of vulnerability management processes and security controls. Familiarity with AI tools and their application within business and security environments. Desirable Experience within Cyber Security, Technology Risk, Governance, Operational Risk, Information Security, or Audit. Experience with vulnerability management platforms such as Rapid7, Qualys, Tenable, Wiz Knowledge of security frameworks such as NIST, ISO 27001, CIS Controls, Cyber Essentials, or SOC 2. Experience using Power BI to develop dashboards and reporting solutions. Exposure to Microsoft Azure or other cloud technologies. Personal Attributes Positive and proactive "can-do" attitude. Eager to learn and develop within Cyber Security and Technology Risk. Strong attention to detail and commitment to quality. Curious, analytical, and solution-focused. Self-motivated and able to work independently or collaboratively. Strong organisational and time-management skills. Comfortable working in a fast-paced environment with multiple priorities. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email .

Description Join WTW's Cyber & TMT team and help organisations navigate an increasingly complex cyber risk landscape. This is an exciting opportunity to work with large, complex, and multinational clients, partnering with leading insurers and underwriters across the London Market while contributing to the growth of a high-performing and collaborative business. You'll combine an all-inclusive client service, market engagement, and commercial acumen to support portfolio growth, develop innovative solutions, and deliver exceptional outcomes for clients. As your career progresses, you will have the opportunity to broaden your responsibilities, strengthen your leadership capabilities, and help develop the next generation of talent within the team. The Role Manage and develop relationships across a portfolio of large and complex Cyber and Technology clients. Build strong partnerships with clients, insurers, underwriters, and key market stakeholders. Coordinate renewals, placements, and servicing activities to deliver outstanding client outcomes. Prepare high-quality market submissions, presentations, and placement documentation. Identify opportunities to support client retention, portfolio growth, and new business development. Monitor market trends, cyber risk developments, and insurer appetite to provide valuable insights to clients and colleagues. Contribute to the development of team capability and, over time, be expected to coach and support junior colleagues as part of your professional growth and progression. Qualifications What you'll bring Experience within insurance broking, underwriting, account management, or a comparable client-facing insurance role, typically gained over four or more years. Experience working with insurers, underwriters, and clients across the London or international insurance markets. All-Inclusive organisational skills with the ability to manage competing priorities and deadlines effectively. Excellent communication and interpersonal skills, with the ability to build trusted relationships at all levels. Commercial awareness and an enthusiasm for supporting portfolio growth and business development initiatives. A strong professional network and confidence engaging with clients, insurers, and market partners. Spanish language capability would be highly advantageous given our international client base and collaboration across Latin America; other language skills are also welcomed. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email

Description With 49,000 colleagues in over 140 countries, we help organisations make forward-thinking choices about their people, their investments and the risks they face. Joining our Insurance Consulting and Technology (ICT) team, you'll be part of our impact right from the start. Our ICT team uniquely combines deep insurance consulting expertise with innovative technology. We work across all major actuarial pillars within Property and Casualty ("P&C") - reserving, capital, and pricing - as well as broader areas such as data science, process transformation, risk and regulatory, climate, exposure management, underwriting and claims analytics, involving both client projects and research and product development. On our eight-week internship, you'll do more than experience our projects - you'll help us deliver them. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. Responsibilities: Joining our P&C Insurance team for eight weeks, you'll build invaluable real-world experience at the heart of our ICT business. These will focus on data-hungry areas such as pricing, claims and operational processes. In this role, you will: Use data science techniques to analyse data and produce insightful results Present your analysis both internally and to clients Collaborate with colleagues in the UK and globally Build your core technical skills through hands-on experience and team support Deliver data science projects that involve the development, assessment and deployment of machine learning models and writing of high-quality code Learn and apply open-source tools and technology, alongside WTW's own proprietary insurance technology solutions, used widely by the insurance market Grow through structured early-career training and ongoing learning from subject matter experts in the team This is the perfect opportunity to understand what you could expect if you joined our graduate programme the following year. We have many examples of our interns returning as permanent team members after graduation. Qualifications Requirements: To transform your tomorrow with a WTW internship, you'll need to be: Highly numerate and analytical, with an interest in drawing value from data and applying your skills to complex and challenging commercial problems Experienced in a coding or data-processing language such as Python, R, SQL or similar Genuinely interested in what's happening in the world of data science, such as recent advancements in Machine Learning and Generative AI A clear and confident communicator who can make complicated ideas understandable and engaging for a range of audiences Personable, approachable and motivated to work as part of a supportive team Someone with an interest in and aptitude for learning and developing new ideas Comfortable using AI tools to support work, with an understanding of their strengths and limitations. Exposure to concepts such as Retrieval-Augmented Generation ("RAG") and Agentic AI would be beneficial but is not required In your penultimate year of university On course to achieve a 2:1 degree, as well as A-level Mathematics at grade A or above, and at least 136 UCAS points across three A levels, or equivalent qualifications. For example, AAB or A AC would meet the overall points requirement. Closing Date: 20th November 2026 Workstyles: We believe in the value of in-person learning, so you'll be expected to attend the office five days per week. You'll be based in either our London or Reigate office. Your office location will be agreed with you during the onboarding process. Regardless of your allocated office, you may be expected to travel to other WTW offices for team or client meetings. The Application Process: Stage 1: Apply online and attach your CV Stage 2: Complete an online test and video interview Stage 3: Attend an in-person assessment centre in our London office, where you'll meet the team. Stage 4: Offer and acceptance Stage 5: Onboarding We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email

Description The Role We are seeking a capable Consulting Data Architect to join our Insurance Technology Consulting practice and play a pivotal role in shaping, selling, and delivering data-led consulting engagements for insurance clients. Location:London, United Kingdom (Hybrid) Scope: UK-Based Role with Global Client & Delivery Remit Reporting To: Head of Architecture Advisory, Insurance Technology Consulting This role sits at the intersection of insurance consulting, data architecture and business development, requiring an individual who can influence propositions, engage credibly with senior client stakeholders, and lead the design and implementation of modern data solutions. The successful candidate will help insurers unlock the value of their data across the insurance value chain, supporting transformation initiatives spanning Underwriting, Claims, Pricing, Reserving, Capital Modelling, Risk & Finance Operations. This is a UK-based role with a global remit, supporting client engagements, proposition development, and delivery initiatives across multiple geographies. This is an ideal opportunity for: A senior Data Architect who wants greater exposure to proposition development, client engagement, and pre-sales activities while retaining a strong technical foundation. A senior Data Consulting professional who enjoys working at the intersection of business and technology and wants to deepen their focus within the insurance sector. Key Responsibilities Shape Go to Market Propositions Contribute to evolution of our Insurance Technology Consulting propositions by embedding modern data, analytics & AI capabilities into market-facing solutions. Collaborate with Insurance and Technology Consulting leaders to develop differentiated data-led propositions. Apply emerging data capabilities to strengthen transformation outcomes across underwriting, claims, actuarial, finance, and risk functions. Contribute thought leadership and establish best practices for modern data platforms and operating models. Sell Consulting Engagements Support pre-sales activities by structuring compelling, commercially attractive, and pragmatic data solutions for insurance clients. Partner with clients and consulting teams to understand business challenges and define pragmatic data-centric solution approaches. Demonstrate knowledge of insurance processes and apply modern data capabilities to address business needs. Develop proposals, presentations, and solution narratives that clearly articulate business value and data transformation outcomes. Deliver Data Consulting Projects Lead the design and oversee implementation of modern data capabilities that deliver measurable business results for insurance clients Define scalable target-state architectures, insurance data models, governance frameworks, and integration approaches aligned to business and technology objectives. Provide data architecture leadership across complex transformation programmes and guide engineering teams through successful implementation. Ensure solutions meet enterprise requirements for security, resilience, scalability, compliance, and operational excellence. Qualifications What you'll bring Leadership & Commercial Acumen Proven experience leading the architecture and delivery of enterprise-scale data transformation programmes, translating business strategy into scalable, practical, and measurable outcomes. Demonstrated operating across the full lifecycle of proposition development, pre-sales, solution shaping, architecture leadership, and programme delivery within consulting, insurance technology, or transformation environments. Ability to engage and influence senior business, technology, and executive stakeholders, building trusted relationships and communicating complex concepts in terms of business value, outcomes, and return on investment. Strong commercial and operational awareness, balancing strategic ambition, implementation complexity, delivery risk, and value realisation to ensure successful programme outcomes. Proven ability to lead multidisciplinary teams and architecture decisions across complex transformation initiatives, applying modern data capabilities to solve insurance business challenges and deliver tangible value across underwriting, claims, actuarial, finance, and risk functions. Insurance Domain Knowledge Strong understanding of one or more of the following insurance domains: Underwriting, Claims, Pricing and Rating, Actuarial and Reserving, Capital Modelling, Finance and Regulatory Reporting. Candidates must be able to demonstrate how modern data platforms, governance, analytics, and AI capabilities can support decision-making and operational improvement within these domains. Data & Technology Expertise Data Infrastructure & Platform Architecture: Strong understanding of modern cloud-native data platforms; including data lakes, Lakehouse, data warehouses, integration patterns, and API-led architectures. Experience designing scalable and secure enterprise data platforms using technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, Databricks, and Snowflake. Data Management, Governance & Controls: Experience establishing data governance frameworks, operating models, metadata management, lineage, cataloguing, data quality, and master data management capabilities. Familiarity with governance and compliance tooling such as Microsoft Purview, Profisee, Informatica and Collibra. Data Modelling & Information Architecture: Strong knowledge of enterprise data modelling, information architecture, and data design principles, with the ability to align logical and physical data structures to business, operational, and regulatory requirements. Proficient in SQL and data modelling tools. Analytics & Business Intelligence: Experience enabling reporting, analytics, and decision-support capabilities that drive business outcomes across insurance functions. Ability to design architectures that support self-service analytics, management information, and performance reporting using platforms such as Power BI, Microsoft Fabric, Databricks, and Snowflake. AI & Advanced Data Capabilities: Understanding of emerging Artificial Intelligence & ML Ops platforms. Experience designing architectures that enable trusted, governed, and scalable AI adoption, underpinned by strong data foundations using platforms such as Azure AI Foundry, Databricks, Snowflake, AWS Bedrock, GCP Vertex etc. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email (ICT_TECH TC_2026_05R)

Description As a Senior Software Engineer (SaaS), you will join a substantial global engineering organisation and provide leadership to highly skilled engineers in the software platform area. You will be part of a team that follows Agile methodologies to deliver market-leading insurance solutions. This is a new position created as the organisation continues to grow and accelerate the delivery of innovative solutions that harness the latest advances in technology. The is a dedicated role to work on the evolution of ICT Platform Infrastructure capabilities which are the foundation of many of WTW's market leading products. You will have worked on large scale and globally deployed SaaS applications that have a mature stack management capability. A sound technical background is essential to be successful in this role with experience in delivering large scale Cloud services. The Role: Provide technical input, guidance and leadership to the team (including code quality, best practices, processes, some aspects of release management, etc.). Assist in the design and documenting of solutions meeting functional and non-functional requirements. Lead by example getting directly involved in the day-to-day delivery of work with hands-on development, following best practices for maintainability, testability and performance. Participate in sprint planning meetings, daily stand-ups and sprint retrospectives, striving to continuously improve the team velocity, its processes and engineering practices. Coach and mentor colleagues where appropriate, fostering a collaborative and quality-focused engineering culture. Qualifications What you'll bring Platform and control plane engineering Practical experience designing and developing management and controlplane capabilities for line of business or SaaS applications, including stack/environment management, API design for platform services, and developer/operator UX. Experience working with or designing Azure stamp-based or scale-unit architectures, including multi-region or multi-tenant deployments, isolation and blast-radius reduction, and automated stamp lifecycle management. SaaS product lifecycle Demonstrated experience across the full SaaS development lifecycle: requirements analysis, estimation, architecture/design, implementation, unit and system testing, deployment, operations, monitoring and incident management. Software engineering fundamentals Strong grounding in object oriented design, design patterns, SOLID principles, clean code practices, code review, documentation and Agile delivery. Core technical stack Hands-on experience with C# and .NET (Core/6+) for backend and service development. Strong practical experience with Azure cloud and SaaS services (e.g., Container Apps, AKS, Azure Storage, Azure SQL/Cosmos DB, Key Vault, Azure Monitor, Log Analytics). Containers, Container Apps, Kubernetes and microservices Experience designing, building and operating containerised microservices, including Docker image design, optimisation, Container Apps, Kubernetes (preferably AKS) deployment and scaling strategies, and Kubernetes configuration, secrets and traffic management. Infrastructure as Code and platform automation Experience with IaC using OpenTofu or Terraform on Azure, producing modular, reusable, and maintainable infrastructure definitions. Experience automating environment and stamp provisioning, implementing blue/green or canary deployments, and detecting/remediating infrastructure drift. CI/CD and DevOps Hands-on experience building CI/CD pipelines in Azure DevOps (Pipelines, Repos), including environments and quality gates. Familiarity with GitHub and GitHub Actions for reusable workflows, build/test/deploy automation and integration with platform tooling. Automation and testing of infrastructure and platforms Experience implementing automated testing for infrastructure and platform components, including IaC unit/integration tests, deployment validation, policy-as-code (Azure Policy, OPA) and IaC linting. Security and compliance Strong understanding of cloud and SaaS security best practices: least privilege, managed identities, secret management, network security, private endpoints, and secure software supply chain practices (image scanning, SBOM, dependency governance). Awareness of compliance, data residency and multi-region considerations in multi-tenant Azure environments. Technical leadership and communication Ability to run proofs of concept with emerging technologies and present outcomes to both technical and non-technical audiences. Comfortable partnering with application teams to gather requirements and shape platform capabilities. Other highly desirable, but not essential skills are: Microsoft Azure certifications (e.g., AZ-204, AZ-400, AZ-305). Kubernetes certifications (e.g., CKA, CKAD, CKS). Degree in Computer Science, Engineering, Mathematics or equivalent industry experience. Experience with high-volume, low-latency SaaS systems. Experience with distributed and event-driven architectures (Azure Service Bus, Event Hubs, Event Grid, Kafka). Experience building multi-tenant architectures, including tenant provisioning, routing and per-tenant configuration/quota management. Experience with Azure ingress and global routing solutions such as Azure Front Door, Application Gateway, and Azure API Management. Experience with identity and access management using Azure AD/Entra ID, B2B, RBAC, OAuth2, OIDC, JWT and claims-based authorisation. Experience in platform engineering or SRE roles: building internal platforms, defining SLIs/SLOs, managing error budgets, and implementing observability (centralised logging, metrics, distributed tracing). Strong awareness of emerging cloud, AI, DevOps and platform technologies, with an understanding of their applicability to SaaS platforms. General knowledge of the insurance industry or other regulated domains. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email (ICT_TECH TD_2026_24)

Description We are looking for a full-stack developer to join a growing Insurtech business unit (based in Cambridge) building market-leading insurance software with a focus on the development of modern SaaS based solutions. You will join at a genuine inflection point: we are moving from AI-assisted coding toward an agentic software development lifecycle, where engineers increasingly describe intent, and orchestrate, review and govern the work that AI executes. The Role Today the role focuses on: • Working with the Product Owner to define, refine and deliver the product backlog. • Designing and building software solutions that meet functional and non-functional requirements, using AI coding tools to accelerate delivery. • Writing and maintaining test-related code - unit tests, test frameworks and automated test cases. • Reviewing and debugging code to identify defects, performance bottlenecks, and technical debt. • Participating in Agile/scrum activities (planning, stand-ups, retrospectives) and continuously improving team velocity, process and engineering practice. • Participating in incident response and continuously hardening the platform based on production learnings The role will evolve and we expect more focus on: • Business outcomes - partnering closely with business stakeholders to understand underlying needs, challenge assumptions where appropriate, and measure success through tangible business and user outcomes. • Design over implementation - spending more time defining system boundaries, integration patterns and architectural intent, using AI-assisted tools to explore solutions and validate design decisions before code is written. • Specification as a first-class craft - writing clear, testable intent and acceptance criteria that agents and humans can both act on. • Review and quality judgement - evaluating AI-generated work for correctness, security and design fit, rather than typing every line yourself. • Orchestration - composing and supervising AI capabilities and agentic workflows inside governed pipelines with clear quality gates. • Raising the team, not just yourself - turning good individual practice into shared, reusable capability so the whole team gets faster, not just one person. • Learning and adaptation - staying current with emerging AI capabilities and engineering practices, helping the team identify, adopt and govern new ways of working that improve delivery and outcomes Qualifications What you'll bring Core engineering • Solid full-stack development experience across modern front-end and back-end technologies, with cloud/SaaS exposure. • Strong grasp of software design, testing and quality fundamentals - you know what good looks like and can articulate why. • Comfortable working in Agile/scrum teams and collaborating closely with Product. AI fluency • Hands-on experience using AI coding assistants or agentic tools in real delivery - and, more importantly, good judgement about when to trust, correct or override them. • Able to write clear specifications and prompts, and to critically review AI-generated code for correctness, security and maintainability. • Curious and self-directed about emerging AI engineering practice - you actively experiment rather than wait to be trained. (Specific tools matter less than the fluency and judgement; the toolchain will keep changing.) Mindset • Comfortable with ambiguity and change - you can do valuable work today while the operating model around you is still forming. • Passion for complex problem solving, as well as statistics and algorithm development • Paint drip-shaped: you have multiple deep areas of expertise and demonstrate ability to use various approaches and adapt as roles blur. • Sees reviewing and specifying as real engineering and an opportunity to deliver even more value, not a step down from writing code. • A growth mindset and a bias to improve the system, not just complete the ticket. General knowledge of the insurance industry and degree level education in a relevant discipline is highly desirable but not essential. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email (ICT_TECH TD_2026_42)

Description WTW is making one of the most far-reaching investments in digital products in the risk and broking industry. At the heart of that investment is a Product team growing its group of Product Managers across the core product domains that together define how WTW's digital business operates and grows. Work Location:London (primary)/Ipswich This is a building role.You will own a product area from ambiguous problem to shipped, adopted outcome. Expect to spend most of your time with AI tools in hand - producing prototypes, evaluation sets and working increments that show what works - and to keep documents light, in service of the build. Judgement is the core of the job: knowing what to build, what to kill, and how your area connects to the squads, shared capabilities and end-to-end solutions around it. You will spend real time with the brokers, claims handlers and operations colleagues your products serve, and work day to day with your squad - engineers, designers and Product Analysts - to turn evidence into adopted product. The Product Domains The Product Teams support four product domains, each delivered by squads that pair product, engineering and design. Product Managers belong to one product community with shared standards and a shared craft; everyone has a home squad in one of these domains, with room to move as priorities shift. Home squads are agreed on joining, based on where the need is greatest and where your experience fits best. Client: How clients interact with and experience WTW's digital products, services, and embedded AI. Colleague: How WTW colleagues use digital tools to work smarter, serve clients better, and operate more effectively. Market Connectivity: Integrations and connections to external markets, carriers, capabilities, and marketplaces. Payments: How money moves between clients, WTW and carriers - premium and claims payments that are accurate, timely and increasingly automated. The Role Key Accountabilities Vision, Systems and Roadmap • Own the vision and roadmap for your product area - a clear, sequenced view of what comes next and why, that your squad and stakeholders can rely on. • Think in systems: see how your squad's work interacts with other squads, shared capabilities, regions and the wider product set; anticipate knock-on effects and put your effort where a small change makes a large difference. • Shape priorities from evidence - user insight, data and business context - and surface collisions, gaps and shared needs across the domain early. • Turn strategy into commitments your squad can plan against, and adjust course as evidence and feedback from the wider system come in. Discovery, Building and Evaluation • Spend time in the field with brokers, claims handlers and operations colleagues - understanding how the work actually happens before shaping how software should change it. • Frame problems before solutions: define the user and business need, the evidence behind it, and what success would look like - including how you will evaluate it. • Build to learn: use AI tooling to go from insight to working prototype within days, testing assumptions cheaply before committing the squad to a full build - and questioning whether the answer is a product feature, a reusable AI skill or a plug-in to an existing tool. • Set evaluation criteria and success signals up front - especially for AI-assisted or agentic features - so you and the squad know what good looks like before you ship. • Partner with design and engineering from first sketch to release, so what ships is usable, useful and adopted in the real flow of work. Delivery Partnership • Set out the problem, the outcome sought and the constraints - a paragraph, a prototype and an evaluation set often carry more weight than a lengthy requirements document - and work with your Product Analyst to turn what is agreed into stories the squad can act on. • Work day to day with engineering - making scope trade-offs openly, and using AI tools yourself so that less is lost between what you intend and what gets built. • Sequence delivery around dependencies with other squads, and keep the interfaces between your area and theirs clearly owned. • Ship iteratively - smaller releases, honest feedback and measured results guiding what to take further, double down on or stop. Business and Stakeholder Engagement • Build trusted working relationships with the business teams your squad serves - brokers, claims handlers and operations colleagues across regions. • Communicate the roadmap and progress honestly - what is on track, what has changed and why, including where working with AI changed the plan. • Bring business stakeholders into prioritisation, so trade-offs are made with them rather than announced to them. • Support adoption after release - walkthroughs, follow-up and listening for what to improve - and feed what you learn into the next cycle. Measurement and Continuous Improvement • Define how success will be measured for every initiative - adoption, usage, the business outcome it was built for and, where relevant, how well the model or agent performs - and track it with Product Operations. • Report progress with candour: what the data shows, what users say, and what should change as a result. • Contribute to the product community's shared templates, standards and practices - including emerging practice on building with AI and proving it works - so the craft rises across every squad. Qualifications What you'll bring Essential • A record of taking a product area from open problem to shipped, adopted outcomes, with evidence of hands-on building along the way - prototypes, working demos, product increments. • Strong discovery craft: framing problems, researching with users, and testing assumptions before committing build. • Practical fluency with AI tools: able to take an idea to a working prototype yourself, judge whether a problem needs a rule, a model or an agent, and define evaluations for AI-assisted features. • Systems thinking: you can trace how a change in one part of a product propagates through the rest, and find the small set of changes that move the whole system. • Judgement to prioritise well - weighing evidence, effort and outcome - and to know what not to build. • A clear communicator and facilitator - as credible with a broker or claims handler as with an engineer - with a collaborative, high-trust way of working that makes the squad and partners around you more effective. • Data literacy - comfortable defining measures, interrogating data and using evidence to make the case for a change. Desirable • Experience in insurance, broking or another regulated financial services environment. • Experience shipping AI-powered or agentic products in production, including designing the evaluations and guardrails around them. • Experience in a global organisation, navigating regional variation in user needs and ways of working. • Familiarity with delivery and documentation tooling such as Jira, Azure DevOps or Confluence. A note on career track. This role sits on the builder path within the product community: strong performers can progress to Staff or Principal Product Manager without moving into people management. The practitioner and management tracks run in parallel and carry equal weight. If this role appeals to you but you don't meet every requirement, we'd still encourage you to apply - we would rather hear from you than miss you. Why Join WTW Digital Products? • Own products used every day by thousands of brokers and their clients across global markets - what you ship moves real business. • Join a product community with shared standards, peer support and clear routes to grow - toward senior product roles, or deeper into the craft. • Be close to the frontier of applying AI in one of the most knowledge-intensive industries in the world. • Join while the team is still forming - the ways of working are yours to help shape. • Strong compensation, flexible hybrid working, and a genuine commitment to inclusion and career development. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email

Description An accomplished Product Delivery Lead is required to join the Willis Neuron product team. You will own delivery of a set of Risk & Analytics features within Willis Neuron, part of a broader portfolio of strategic technology delivery across the group. You will work with broking teams, actuaries and other stakeholders to deliver change involving significant data, analytics, climate and externally facing technology components. We are looking for a team member to bring expertise in all areas of product management, from supporting the early development of opportunities through to delivery. This is a delivery focused hands-on role; you will need to pay attention to detail and be able to liaise with key business stakeholders whilst leading a multi-location delivery team including Business Analysts, UX Designers, Software Developers and Quality Assurance Analysts. You will also be an active user of AI tooling yourself, applying AI assistants to your own product and delivery work and helping the team get the most from AI agent-led development. The successful applicant will work with the Risk & Analytics and Data Programme Manager and report to the overall R&A & Data leader. Hybrid working fully supported ideally with 1-2 days per week in the London or Ipswich office. Occasional travel will be required as well as the possibility of overseas travel to support engagement with business and technology stakeholders. This is an exceptional opportunity to play a key part in the transformation of a global financial services organisation. Working with cross-functional teams of software development specialists, geospatial information specialists and catastrophe and actuarial model builders. These teams bring best-in-class analytics, thought-leadership and expertise in designing, building and supporting industry standard risk analysis and client facing tools By joining our team, you will become part of a highly professional and client focused team with a strong work/life balance and opportunities for remote/hybrid working. The Role Own the delivery roadmap for a number of R&A features within Willis Neuron, translating business strategy and stakeholder priorities into a sequenced, deliverable plan. Own and maintain the product backlog, support writing clear outcome-focused user stories and acceptance criteria, and prioritising ruthlessly by value, risk and dependency. Act as the decision-making point between business stakeholders and the delivery team, resolving scope, requirements and trade-off questions at pace. Lead a multi-location delivery team of Business Analysts, UX Designers, Software Developers and Quality Assurance Analysts, providing clear structure, direction and prioritisation. Engage proactively with broking, actuarial and technology stakeholders across the full solution delivery lifecycle, from shaping early opportunities through discovery, delivery and adoption. Define and track the success measures for the features you own, using delivery and usage data to steer subsequent iterations and demonstrate value realised. Run agile delivery day to day, including estimation, sprint and release planning and forecasting, whilst meeting the governance expectations of the Project Delivery Framework and maintaining the artefacts it requires. Use AI tooling and assistants (e.g. Microsoft Copilot, Claude) in your own day-to-day work, to accelerate requirements shaping, user story drafting, analysis, reporting and stakeholder communication. Champion the team's adoption of AI-assisted and agent-led delivery, adapting planning, estimation, quality and governance practices as delivery pace and shape change. Stay aware of AI and wider technology trends, assess what they mean for our products and delivery approach, and bring the credible ideas into the roadmap. Manage, resolve and escalate risks, issues and dependencies clearly and early. Ensure proposed solutions meet stakeholder needs whilst complying with WTW Group strategic architecture, security and compliance guidelines. Produce regular, concise and accurate progress reporting for the Programme Manager, the R&A & Data leader and senior stakeholders. Ensure delivered features are fully transitioned to Service Management and supported through their lifecycle. Work with fellow Product Delivery Leads and Product Managers to continuously improve our product and delivery management standards. Qualifications What you'll bring Essential A seasoned product professional with significant experience leading complex software delivery in an Agile environment, bringing established expertise in product ownership, delivery leadership or product management. Hands-on personal use of AI assistants in a professional setting, with good judgement on where they add value and where their output must be validated. Innovative and curious, willing to research and develop personal and team knowledge and skillsets, and to keep pace with fast-moving AI tooling and its impact on delivery. Experience of owning the full product lifecycle, from idea and business case through build and launch to hand-over to operational support. Demonstrable backlog ownership and prioritisation: shaping and quality-assuring user stories and acceptance criteria, and making trade-off decisions across scope, cost and time. Ability to communicate effectively with senior stakeholders, reporting progress against agreed deliverables and highlighting or escalating issues and barriers to delivery. A good level of technical knowledge, sufficient to challenge solution options and understand delivery constraints. Ability to run several features or workstreams concurrently, working independently without close supervision as well as collaboratively, and making key decisions in line with group and programme strategy. Ability to engage with business and technology stakeholders at all levels, both on and off shore, and across various geographies and time zones. Experience of both agile and waterfall delivery methods, and an understanding of the appropriate application of each. Desirable Previously worked in a financial services organisation, ideally insurance or insurance broking. Experience delivering data, analytics, climate or geospatial products. Product or delivery certification (e.g. Certified Scrum Product Owner, SAFe, Agile PM, APMP or PRINCE2). Experience facilitating requirements gathering with stakeholders and end users, and working with prototypes, mock-ups and wireframes as part of product development. Understanding of data-model diagrams and the ability to understand relational structures. GitHub, JIRA and Microsoft Azure DevOps knowledge. Experience working with a PMO to deliver agile products within corporate governance gate/checkpoint procedures, and of implementing process improvements. What we offer Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle-to-work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. Equal Opportunity Employer We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email

Description With 49,000 colleagues in over 140 countries, we help organisations make forward-thinking choices about their people, their investments and the risks they face. Joining our Insurance Consulting and Technology (ICT) team, you'll be part of our impact right from the start. Our ICT team uniquely combines deep insurance consulting expertise with innovative technology. We work across all major actuarial pillars within Property and Casualty ("P&C") - reserving, capital, and pricing - as well as broader areas such as data science, process transformation, risk and regulatory, climate, exposure management, underwriting and claims analytics, involving both client projects and research and product development. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. Responsibilities: Working with and learning from some of the market's top thought leaders, you'll become part of multiple, varied client projects from day one. These will focus on data-hungry areas such as pricing, claims and operational processes. In this role, you will: Use data science techniques to analyse data and produce insightful results Present your analysis both internally and to clients Collaborate with colleagues in the UK and globally Build your core technical skills through hands-on experience and team support Deliver data science projects that involve the development, assessment and deployment of machine learning models and writing of high-quality code Learn and apply open-source tools and technology, alongside WTW's own proprietary insurance technology solutions, used widely by the insurance market. Grow through structured early-career training and ongoing learning from subject matter experts in the team Qualifications Requirements: Our graduate roles are journeys of learning, experience and support. To transform your tomorrow with WTW, you'll need to be: Highly numerate and analytical, with an interest in drawing value from data and applying your skills to complex and challenging commercial problems Experienced in a coding or data-processing language such as Python, R, SQL or similar Genuinely interested in what's happening in the world of data science, such as recent advancements in Machine Learning and Generative AI A clear and confident communicator who can make complicated ideas understandable and engaging for a range of audiences Personable, approachable and motivated to work as part of a supportive team Someone with an interest in and aptitude for learning and developing new ideas Comfortable using AI tools to support work, with an understanding of their strengths and limitations. Exposure to concepts such as Retrieval-Augmented Generation ("RAG") and Agentic AI would be beneficial but is not required At least a 2:1 degree in a numerate discipline, A-level Mathematics at grade A or above, and at least 136 UCAS points across three A levels, or equivalent qualifications. For example, AAB or A AC would meet the overall points requirement. Closing Date: 20th November 2026 Please note that we do not accept multiple applications and you should only select and apply to one programme per year Workstyles: We believe in the value of in-person learning at this early stage of your career, so you'll be expected to come into the office at least four days a week. You'll be based in our London or Reigate office. Your office location will be agreed with you during the onboarding process. Regardless of your allocated office, you may be expected to travel to other WTW locations for team or client meetings. The Application Process: Stage 1: Apply online and attach your CV Stage 2: Complete an online test and video interview Stage 3: Attend an in-person assessment centre in our London office, where you'll meet the team. Stage 4: Offer and onboarding We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email We are committed to maintaining a fair and equitable process for all candidates - read our AI Guidance .