London, United Kingdom Job Description Position Overview We are seeking an AI Engineer to join our Global Analytics team in London. This role is focused on the end-to-end lifecycle of production-grade AI, from training and fine-tuning specialized models to architecting high-performance inference pipelines. The ideal candidate views AI as a rigorous engineering discipline. Beyond building models, you will be responsible for writing high-quality, maintainable Python code and ensuring that every solution-whether a voice agent or a document processor-is built for reliability, low latency, and global scale. Key Responsibilities Model Training & Fine-Tuning: Lead the adaptation of Large Language Models (LLMs) for domain-specific tasks using techniques like LoRA, QLoRA, and PEFT to balance performance with resource efficiency. Inference Optimization: Architect and optimize inference pipelines to minimize TTFT (Time to First Token) and maximize throughput. This includes implementing quantization, caching strategies, and efficient batching. Production Engineering: Build and maintain real-time AI pipelines using WebSockets and SSE, ensuring seamless low-latency delivery for voice (ASR/TTS) and text applications. Architecture & MLOps: Deploy and orchestrate models within containerized microservice architectures (Docker/Kubernetes), ensuring robust monitoring, security, and scalability. Collaborative Delivery: Work closely with Business Analysts and internal stakeholders to bridge the gap between commercial requirements and technical implementation. Qualifications Technical Requirements Professional Experience: 5+ years in AI/ML engineering with a documented history of moving complex models from research into production. Python Mastery: Deep proficiency in Python. You have a strong commitment to clean coding standards (SOLID/DRY), modular design, and comprehensive unit/integration testing. Generative AI Deep Dive: Hands-on experience with LLM training cycles, parameter-efficient fine-tuning (PEFT), and sophisticated prompt engineering. Inference Stack: Experience with high-performance inference servers (e.g., vLLM, TGI, or Triton) and an understanding of how to optimize models for GPU deployment. Infrastructure: Comfortable working in Linux-based environments and proficient in managing containerized workloads and automated CI/CD pipelines. Advanced RAG: Experience building production-ready Retrieval-Augmented Generation systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture, CUDA, and hardware-level performance optimization. Familiarity with Document Intelligence frameworks (OCR, layout analysis, and multimodal extraction). MUST be fluent in Mandarin OR Cantonese and English We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 34325 Job Schedule Full time Regular or Temporary Regular Job Category Analytics Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
24/07/2026
Full time
London, United Kingdom Job Description Position Overview We are seeking an AI Engineer to join our Global Analytics team in London. This role is focused on the end-to-end lifecycle of production-grade AI, from training and fine-tuning specialized models to architecting high-performance inference pipelines. The ideal candidate views AI as a rigorous engineering discipline. Beyond building models, you will be responsible for writing high-quality, maintainable Python code and ensuring that every solution-whether a voice agent or a document processor-is built for reliability, low latency, and global scale. Key Responsibilities Model Training & Fine-Tuning: Lead the adaptation of Large Language Models (LLMs) for domain-specific tasks using techniques like LoRA, QLoRA, and PEFT to balance performance with resource efficiency. Inference Optimization: Architect and optimize inference pipelines to minimize TTFT (Time to First Token) and maximize throughput. This includes implementing quantization, caching strategies, and efficient batching. Production Engineering: Build and maintain real-time AI pipelines using WebSockets and SSE, ensuring seamless low-latency delivery for voice (ASR/TTS) and text applications. Architecture & MLOps: Deploy and orchestrate models within containerized microservice architectures (Docker/Kubernetes), ensuring robust monitoring, security, and scalability. Collaborative Delivery: Work closely with Business Analysts and internal stakeholders to bridge the gap between commercial requirements and technical implementation. Qualifications Technical Requirements Professional Experience: 5+ years in AI/ML engineering with a documented history of moving complex models from research into production. Python Mastery: Deep proficiency in Python. You have a strong commitment to clean coding standards (SOLID/DRY), modular design, and comprehensive unit/integration testing. Generative AI Deep Dive: Hands-on experience with LLM training cycles, parameter-efficient fine-tuning (PEFT), and sophisticated prompt engineering. Inference Stack: Experience with high-performance inference servers (e.g., vLLM, TGI, or Triton) and an understanding of how to optimize models for GPU deployment. Infrastructure: Comfortable working in Linux-based environments and proficient in managing containerized workloads and automated CI/CD pipelines. Advanced RAG: Experience building production-ready Retrieval-Augmented Generation systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture, CUDA, and hardware-level performance optimization. Familiarity with Document Intelligence frameworks (OCR, layout analysis, and multimodal extraction). MUST be fluent in Mandarin OR Cantonese and English We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 34325 Job Schedule Full time Regular or Temporary Regular Job Category Analytics Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
Chubb Ltd. in London is seeking an AI Engineer to join the Global Analytics team. This role covers the end-to-end lifecycle of production-grade AI, from training and fine-tuning models to building high-performance inference pipelines. You will write clean Python, deploy containerized services with Docker/Kubernetes, and push for low latency, reliability, and global scale across voice and text applications.
24/07/2026
Full time
Chubb Ltd. in London is seeking an AI Engineer to join the Global Analytics team. This role covers the end-to-end lifecycle of production-grade AI, from training and fine-tuning models to building high-performance inference pipelines. You will write clean Python, deploy containerized services with Docker/Kubernetes, and push for low latency, reliability, and global scale across voice and text applications.
Chubb Ltd. in London seeks a VP-level Transformation Initiative Lead to drive the design, development, and delivery of high-priority strategic initiatives within Chubb's Global Claims Transformation team. Reporting to the Global Claims Transformation Officer, this role bridges business stakeholders, technology partners, and international claims operations to deliver tangible outcomes for employees and customers alike.
22/07/2026
Full time
Chubb Ltd. in London seeks a VP-level Transformation Initiative Lead to drive the design, development, and delivery of high-priority strategic initiatives within Chubb's Global Claims Transformation team. Reporting to the Global Claims Transformation Officer, this role bridges business stakeholders, technology partners, and international claims operations to deliver tangible outcomes for employees and customers alike.
London, United Kingdom Job Description Locations: London, England The VP, Claims Transformation Initiative Lead will spearhead the design, development, and delivery of high-priority strategic initiatives within Chubb's Global Claims Transformation team. Reporting to the Global Claims Transformation Officer, this role is purpose-built for someone who can take a capability from concept to execution across a complex, multicultural environment spanning Europe, Asia Pacific, and Latin America. This leader will own a transformational program end-to-end, driving it from strategy and design through implementation and adoption. They will serve as the primary bridge between business stakeholders, technology partners, and international claims operations, ensuring solutions are grounded in Chubb's operating realities and deliver tangible outcomes for employees and customers alike. Key Responsibilities Lead the end-to-end strategy, design, and build-out of a defined transformation initiative within Global Claims Translate business needs into technical requirements, ensuring alignment with claims operations and strategic objectives Coordinate with cross-functional teams (claims, IT, data science, engineering) to deliver automation projects on time and within scope, adapting to the regulatory and operational variation across international markets Develop and maintain project plans, timelines, and risk mitigation strategies for the domain's initiatives Create and maintain comprehensive project documentation, including timelines, budgets, and executive communications/status reports Drive change management and adoption of new tools and workflows, championing an employee-centered approach to technology rollout across Claims Analyze process performance, identify opportunities for further automation, and implement continuous improvements Stay current on industry trends in AI, automation, and claims management, and identify opportunities for innovation Qualifications 7+ years of experience in process engineering, operations, or project management, preferably in insurance or financial services Demonstrated experience leading cross-functional teams and delivering complex projects in an agile environment Outstanding communication skills, able to translate technical concepts for business stakeholders and vice versa Experience with claims operations is highly desirable Bachelor's degree in engineering, business, or related field; advanced degree or relevant certifications (Six Sigma, PMP, Agile) a plus Strong analytical and critical thinking skills; data-driven decision maker Initiative-taking, adaptable, and able to navigate ambiguity Collaborative, inclusive, and able to drive consensus across diverse teams Equal Employment Opportunity At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment. Job Info Job Identification 34808 Job Category Claims Optimization and Transformation Business Unit United States Legal Employer ACE American Insurance Company
22/07/2026
Full time
London, United Kingdom Job Description Locations: London, England The VP, Claims Transformation Initiative Lead will spearhead the design, development, and delivery of high-priority strategic initiatives within Chubb's Global Claims Transformation team. Reporting to the Global Claims Transformation Officer, this role is purpose-built for someone who can take a capability from concept to execution across a complex, multicultural environment spanning Europe, Asia Pacific, and Latin America. This leader will own a transformational program end-to-end, driving it from strategy and design through implementation and adoption. They will serve as the primary bridge between business stakeholders, technology partners, and international claims operations, ensuring solutions are grounded in Chubb's operating realities and deliver tangible outcomes for employees and customers alike. Key Responsibilities Lead the end-to-end strategy, design, and build-out of a defined transformation initiative within Global Claims Translate business needs into technical requirements, ensuring alignment with claims operations and strategic objectives Coordinate with cross-functional teams (claims, IT, data science, engineering) to deliver automation projects on time and within scope, adapting to the regulatory and operational variation across international markets Develop and maintain project plans, timelines, and risk mitigation strategies for the domain's initiatives Create and maintain comprehensive project documentation, including timelines, budgets, and executive communications/status reports Drive change management and adoption of new tools and workflows, championing an employee-centered approach to technology rollout across Claims Analyze process performance, identify opportunities for further automation, and implement continuous improvements Stay current on industry trends in AI, automation, and claims management, and identify opportunities for innovation Qualifications 7+ years of experience in process engineering, operations, or project management, preferably in insurance or financial services Demonstrated experience leading cross-functional teams and delivering complex projects in an agile environment Outstanding communication skills, able to translate technical concepts for business stakeholders and vice versa Experience with claims operations is highly desirable Bachelor's degree in engineering, business, or related field; advanced degree or relevant certifications (Six Sigma, PMP, Agile) a plus Strong analytical and critical thinking skills; data-driven decision maker Initiative-taking, adaptable, and able to navigate ambiguity Collaborative, inclusive, and able to drive consensus across diverse teams Equal Employment Opportunity At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment. Job Info Job Identification 34808 Job Category Claims Optimization and Transformation Business Unit United States Legal Employer ACE American Insurance Company
The EMEA Head of Infrastructure is accountable for the smooth and effective operation as well as strategic transformation of IT infrastructure services across the EMEA region. The role operates within a matrix organisation in alignment to global infrastructure functions. The EMEA Head of Infrastructure engages with the respective infrastructure chapter leads to ensure coherent, high-quality delivery for the region. The role drives availability, performance, scalability, efficiency, and continuous improvement as well as strategy of EMEA infrastructure, while ensuring regional needs are clearly represented and met. Key Responsibilities: Engage with global chapter leads and regional infrastructure colleagues through a matrix management to ensure effective planning, design, implementation, operation, and maintenance of all EMEA infrastructure services. Scope includes data centres, servers, storage systems, networks, telecommunications, workplace and end user services, and cloud-based services. Act as the primary regional point of accountability, ensuring global chapter activity translates into tangible, high-quality outcomes for EMEA. Oversee the day-to-day IT operations, including help desk support, system monitoring and IT service management including incident, problem and change management. Ensure timely resolution of IT issues to minimize downtime and disruptions to business operations. Develop and execute strategic plans for infrastructure management, ensuring alignment with the organization's goals and objectives. Proactively identify areas of improvement, conduct cost-benefit analysis, and recommend appropriate solutions to enhance infrastructure performance, effectiveness and efficiency across the business lines. Drive continual service improvement initiatives to enhance the quality of infrastructure operations. Build and manage a high-performance infrastructure organization, providing guidance, mentorship, and support. Foster a collaborative and results-oriented work environment, ensuring the team has the necessary resources and skills to meet objectives. Develop a deep understanding of the IT application and business needs and priorities and collaborate closely with key stakeholders in IT and business to align IT infrastructure with those needs to ensure tangible value for the business. Stay up-to-date with the latest trends and advancements in infrastructure technologies. Provide technical expertise and guidance to resolve complex infrastructure issues and ensure optimal performance. Establish and maintain relationships with external vendors and service providers and manage vendor contracts in close collaboration with procurement to obtain cost-effective and reliable infrastructure delivery. Develop and maintain comprehensive disaster recovery and business continuity plans for infrastructure systems. Conduct regular tests and evaluations to ensure the availability and reliability of critical systems in the event of an incident or disaster. Collaborate with compliance and security teams to ensure all EMEA infrastructure systems and processes meet relevant regulatory requirements, industry standards, and internal company policies. This includes active ownership of infrastructure obligations under financial services regulations such as DORA (Digital Operational Resilience Act), ensuring the region meets resilience, incident reporting, and third-party risk requirements applicable to IT infrastructure. IT Asset Management: Oversee the management and tracking of infrastructure assets, including hardware, software licenses, and equipment inventory. Infrastructure Transformation: Lead and contribute to major infrastructure transformation programmes across EMEA, including data centre modernisation, platform migrations, and hybrid cloud adoption. Ensure transformation initiatives are delivered with minimal disruption to live operations, and that regional teams are equipped and engaged throughout the change journey. AI-Driven Operations: Champion the adoption of AI-driven operational tooling across EMEA infrastructure, including AIOps platforms for predictive monitoring, automated incident response, and intelligent capacity management. Evaluate and drive use cases where AI enhances operational efficiency, reduces manual toil, and improves service reliability. Budgeting and Cost Control: Prepare and manage the infrastructure budget, ensuring cost-effective utilization of resources and adherence to financial targets. Monitor expenditures, identify areas for optimization, and make recommendations to reduce costs without compromising service quality. Qualifications Requirements: Head of Infrastructure should have a bachelor's or master's degree of Computer Engineering or relevant field Proven experience (10+ years) in infrastructure management, IT operations, and IT security. Demonstrable background spanning data centres, networks, servers, workplace and end user services, and cloud computing, including experience managing through significant infrastructure transformation programmes. Strong leadership skills to effectively manage a team of IT professionals and drive performance. Excellent communication skills to effectively interact with team members, senior management, and other stakeholders. Technical proficiency and knowledge of IT infrastructure, Cyber security, networks, and systems to effectively manage and troubleshoot issues. Ability to manage multiple projects with a problem-solving aptitude Experience within a multi-national & matrixed environment - preference would be for significant experience within a Financial Services organisation. Experience operating within a matrix organisation, with the ability to influence and drive outcomes through global chapter structures without direct line authority. Understanding of financial services regulatory requirements relevant to IT infrastructure, including DORA or equivalent operational resilience frameworks. ITIL Certified is preferred We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 33932 Job Schedule Full time Regular or Temporary Regular Job Category Infrastructure Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
21/07/2026
Full time
The EMEA Head of Infrastructure is accountable for the smooth and effective operation as well as strategic transformation of IT infrastructure services across the EMEA region. The role operates within a matrix organisation in alignment to global infrastructure functions. The EMEA Head of Infrastructure engages with the respective infrastructure chapter leads to ensure coherent, high-quality delivery for the region. The role drives availability, performance, scalability, efficiency, and continuous improvement as well as strategy of EMEA infrastructure, while ensuring regional needs are clearly represented and met. Key Responsibilities: Engage with global chapter leads and regional infrastructure colleagues through a matrix management to ensure effective planning, design, implementation, operation, and maintenance of all EMEA infrastructure services. Scope includes data centres, servers, storage systems, networks, telecommunications, workplace and end user services, and cloud-based services. Act as the primary regional point of accountability, ensuring global chapter activity translates into tangible, high-quality outcomes for EMEA. Oversee the day-to-day IT operations, including help desk support, system monitoring and IT service management including incident, problem and change management. Ensure timely resolution of IT issues to minimize downtime and disruptions to business operations. Develop and execute strategic plans for infrastructure management, ensuring alignment with the organization's goals and objectives. Proactively identify areas of improvement, conduct cost-benefit analysis, and recommend appropriate solutions to enhance infrastructure performance, effectiveness and efficiency across the business lines. Drive continual service improvement initiatives to enhance the quality of infrastructure operations. Build and manage a high-performance infrastructure organization, providing guidance, mentorship, and support. Foster a collaborative and results-oriented work environment, ensuring the team has the necessary resources and skills to meet objectives. Develop a deep understanding of the IT application and business needs and priorities and collaborate closely with key stakeholders in IT and business to align IT infrastructure with those needs to ensure tangible value for the business. Stay up-to-date with the latest trends and advancements in infrastructure technologies. Provide technical expertise and guidance to resolve complex infrastructure issues and ensure optimal performance. Establish and maintain relationships with external vendors and service providers and manage vendor contracts in close collaboration with procurement to obtain cost-effective and reliable infrastructure delivery. Develop and maintain comprehensive disaster recovery and business continuity plans for infrastructure systems. Conduct regular tests and evaluations to ensure the availability and reliability of critical systems in the event of an incident or disaster. Collaborate with compliance and security teams to ensure all EMEA infrastructure systems and processes meet relevant regulatory requirements, industry standards, and internal company policies. This includes active ownership of infrastructure obligations under financial services regulations such as DORA (Digital Operational Resilience Act), ensuring the region meets resilience, incident reporting, and third-party risk requirements applicable to IT infrastructure. IT Asset Management: Oversee the management and tracking of infrastructure assets, including hardware, software licenses, and equipment inventory. Infrastructure Transformation: Lead and contribute to major infrastructure transformation programmes across EMEA, including data centre modernisation, platform migrations, and hybrid cloud adoption. Ensure transformation initiatives are delivered with minimal disruption to live operations, and that regional teams are equipped and engaged throughout the change journey. AI-Driven Operations: Champion the adoption of AI-driven operational tooling across EMEA infrastructure, including AIOps platforms for predictive monitoring, automated incident response, and intelligent capacity management. Evaluate and drive use cases where AI enhances operational efficiency, reduces manual toil, and improves service reliability. Budgeting and Cost Control: Prepare and manage the infrastructure budget, ensuring cost-effective utilization of resources and adherence to financial targets. Monitor expenditures, identify areas for optimization, and make recommendations to reduce costs without compromising service quality. Qualifications Requirements: Head of Infrastructure should have a bachelor's or master's degree of Computer Engineering or relevant field Proven experience (10+ years) in infrastructure management, IT operations, and IT security. Demonstrable background spanning data centres, networks, servers, workplace and end user services, and cloud computing, including experience managing through significant infrastructure transformation programmes. Strong leadership skills to effectively manage a team of IT professionals and drive performance. Excellent communication skills to effectively interact with team members, senior management, and other stakeholders. Technical proficiency and knowledge of IT infrastructure, Cyber security, networks, and systems to effectively manage and troubleshoot issues. Ability to manage multiple projects with a problem-solving aptitude Experience within a multi-national & matrixed environment - preference would be for significant experience within a Financial Services organisation. Experience operating within a matrix organisation, with the ability to influence and drive outcomes through global chapter structures without direct line authority. Understanding of financial services regulatory requirements relevant to IT infrastructure, including DORA or equivalent operational resilience frameworks. ITIL Certified is preferred We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 33932 Job Schedule Full time Regular or Temporary Regular Job Category Infrastructure Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
Chubb Ltd. is seeking an EMEA Head of Infrastructure to oversee IT operations and strategic transformation in the EMEA region. This role requires a proven leader with significant experience in infrastructure management and IT security, ensuring effective planning and implementation of infrastructure services. The individual will collaborate with global teams, oversee day-to-day operations, and drive continual service improvements. Candidates should have relevant qualifications, including a degree in Computer Engineering and extensive experience in a multi-national environment. Competitive salary, hybrid working options, and several employee benefits are offered.
21/07/2026
Full time
Chubb Ltd. is seeking an EMEA Head of Infrastructure to oversee IT operations and strategic transformation in the EMEA region. This role requires a proven leader with significant experience in infrastructure management and IT security, ensuring effective planning and implementation of infrastructure services. The individual will collaborate with global teams, oversee day-to-day operations, and drive continual service improvements. Candidates should have relevant qualifications, including a degree in Computer Engineering and extensive experience in a multi-national environment. Competitive salary, hybrid working options, and several employee benefits are offered.
A leading insurance company is seeking an administrative professional for their Property Underwriting team in Greater London. The role encompasses logging and managing submissions, coordinating investigations, and ensuring accurate data processing under deadlines. Candidates with strong organizational skills and insurance experience are preferred. The position requires teamwork, attention to detail, and the ability to prioritize tasks effectively.
12/07/2026
Full time
A leading insurance company is seeking an administrative professional for their Property Underwriting team in Greater London. The role encompasses logging and managing submissions, coordinating investigations, and ensuring accurate data processing under deadlines. Candidates with strong organizational skills and insurance experience are preferred. The position requires teamwork, attention to detail, and the ability to prioritize tasks effectively.
This is an administrative role working within the Property Underwriting team for Chubb Bermuda International. The role involves managing and logging submissions via our Chubb internal system, including analysing slip details to perform the registration of premium, coverage and layer information for bound accounts. The role will be subject to monthly and quarterly deadlines and therefore the candidate will be required to be organized, have a good level of numeracy, be able to work under pressure and comfortably work in a team. Specific Responsibilities include: Logging new and renewal submissions into Workview Recording submissions in Submission Tracking System Maintain Submission Tracking System, ensuring all items closed after inception Preparation of Genius Input Forms post binding for new and renewal business Processing premium adjustments for entry into Genius Coordinate investigations of cash variances with premium receivables and premium payments Assist CAT manager with bound data required for rollup Cross-check and upload monthly rate change data Assist with special projects as required Qualifications Qualifications and Experience University degree preferred but not required Two years' or more experience in a similar role within the insurance/reinsurance preferred but not required Good organizational, verbal, numerical and written communication skills Ability to multi-task, prioritize workload and meet deadlines The capacity to work on one's own initiative and to thrive in a team-based environment Good interpersonal skills with the ability to work in a team environment Attention to detail and accuracy of work product is essential Ability to be proactive and improve working processes for greater efficiency Willingness to take on new tasks as required by the business Job Info Job Identification 31411 Job Schedule Full time Regular or Temporary Regular Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
11/07/2026
Full time
This is an administrative role working within the Property Underwriting team for Chubb Bermuda International. The role involves managing and logging submissions via our Chubb internal system, including analysing slip details to perform the registration of premium, coverage and layer information for bound accounts. The role will be subject to monthly and quarterly deadlines and therefore the candidate will be required to be organized, have a good level of numeracy, be able to work under pressure and comfortably work in a team. Specific Responsibilities include: Logging new and renewal submissions into Workview Recording submissions in Submission Tracking System Maintain Submission Tracking System, ensuring all items closed after inception Preparation of Genius Input Forms post binding for new and renewal business Processing premium adjustments for entry into Genius Coordinate investigations of cash variances with premium receivables and premium payments Assist CAT manager with bound data required for rollup Cross-check and upload monthly rate change data Assist with special projects as required Qualifications Qualifications and Experience University degree preferred but not required Two years' or more experience in a similar role within the insurance/reinsurance preferred but not required Good organizational, verbal, numerical and written communication skills Ability to multi-task, prioritize workload and meet deadlines The capacity to work on one's own initiative and to thrive in a team-based environment Good interpersonal skills with the ability to work in a team environment Attention to detail and accuracy of work product is essential Ability to be proactive and improve working processes for greater efficiency Willingness to take on new tasks as required by the business Job Info Job Identification 31411 Job Schedule Full time Regular or Temporary Regular Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
The Tech Risk & Compliance Lead is a hands-on, execution-focused role within the EMEA IT Risk and Compliance function, responsible for the practical design, implementation and testing of SOX IT General Controls (ITGCs) across the EMEA technology estate, alongside supporting compliance with the wider European regulatory landscape including the General Data Protection Regulation (GDPR) and the Digital Operational Resilience Act (DORA). The role holder works directly with architects and application owners to build IT controls into systems, performs control design and operating-effectiveness testing, collects and reviews evidence, manages deficiencies through to remediation, and acts as the day-to-day interface to internal and external auditors (PwC), risk and data protection functions, and regional IT leads. KEY RESPONSIBILITIES Control Design, Implementation and Testing Design and document SOX-compliant control specifications for IT platforms - covering logical access, change management, computer operations and segregation of duties - and work with IT owners to implement them in production. Apply controls-by-design in practice: review designs, configurations and change requests against control requirements and confirm SOX, data protection and operational-resilience controls are built in before changes reach production. Plan and execute control design and operating-effectiveness testing across the ITGC portfolio, including sample selection, test execution, workpaper preparation, and conclusion on control adequacy. Maintain a detailed control inventory, test calendar and RACI for each control, and track identified deficiencies through root-cause analysis to validated remediation. Architecture Review and Controls by Design Review infrastructure architecture documents, design proposals, and change requests to assess SOX control implications prior to implementation; engage at design stage with architects and engineers to embed ITGCs, preventing control gaps from being introduced through system design. Provide compliance input into cloud migrations, platform modernisation, database upgrades, and identity management programmes. Develop and maintain a controls reference framework as a practical design guide for architects and platform owners. Regulatory Control Implementation and Testing - SOX, GDPR and DORA Embed GDPR technical and organisational controls (access control, encryption, logging, data retention and deletion, and audit trails) into infrastructure design and the ITGC framework, partnering closely with the Data Protection Officer and privacy function. Establish a consolidated regulatory control mapping so that a single, well-designed set of controls satisfies SOX, GDPR and DORA obligations, reducing duplication and control fatigue across the estate. Report on control implementation and testing status against regulatory requirements and track remediation of identified gaps through to closure. Advisory and Stakeholder Engagement Act as compliance advisor to application owners, architects, and engineering teams on ITGC-compliant access models, change workflows, and operational procedures. Participate in architecture review boards and governance forums as the designated compliance representative; serve as primary contact for internal audit and PwC for all infrastructure-related SOX testing, evidence requests, and findings management. Provide structured reporting to senior leadership on compliance posture, open findings, and remediation status. Technology Risk and Continuous Improvement Conduct periodic IT risk assessments and produce decision-ready risk reporting for senior management; assess compliance implications of new technologies and delivery models prior to adoption. Drive standardisation and continuous improvement of the infrastructure compliance programme; develop guidance materials and training for infrastructure and application teams. Operate effectively within an evolving regulatory environment, including GDPR, DORA, FCA requirements, and Lloyd's reporting obligations. Qualifications EXPERIENCE Minimum 5 years in IT compliance, IT external or internal audit, or technology risk within financial services, insurance, or Big 4. Proven ownership of SOX ITGC programmes including proactive monitoring and deficiency remediation. Track record of reviewing architectural artefacts from a compliance perspective and guiding technical teams on control implementation. Prior engagement with Big 4 external audit at a senior client-side level, or equivalent auditor-side experience. SOX ITGCs: logical access, change management, computer operations, and segregation of duties. Privileged access management tools: CyberArk and/or SailPoint. Infrastructure platforms: Windows Server, Linux/AIX, iSeries (AS400), Oracle Database, SQL Server, and DB2. Ability to critically assess architecture documents and identify control design implications. Working knowledge of EU regulatory frameworks affecting infrastructure, including DORA operational resilience requirements and GDPR technical and organisational controls. QUALIFICATIONS Required: Bachelor's degree in Computer Science, Information Technology, or a related discipline. Preferred: Certified Information Systems Auditor (CISA). Advantageous: CRISC, CISM, or equivalent professional qualification. Benefits Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Diversity & Inclusion Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 34458 Job Schedule Full time Regular or Temporary Regular Job Category Info Security and IT Compliance Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
10/07/2026
Full time
The Tech Risk & Compliance Lead is a hands-on, execution-focused role within the EMEA IT Risk and Compliance function, responsible for the practical design, implementation and testing of SOX IT General Controls (ITGCs) across the EMEA technology estate, alongside supporting compliance with the wider European regulatory landscape including the General Data Protection Regulation (GDPR) and the Digital Operational Resilience Act (DORA). The role holder works directly with architects and application owners to build IT controls into systems, performs control design and operating-effectiveness testing, collects and reviews evidence, manages deficiencies through to remediation, and acts as the day-to-day interface to internal and external auditors (PwC), risk and data protection functions, and regional IT leads. KEY RESPONSIBILITIES Control Design, Implementation and Testing Design and document SOX-compliant control specifications for IT platforms - covering logical access, change management, computer operations and segregation of duties - and work with IT owners to implement them in production. Apply controls-by-design in practice: review designs, configurations and change requests against control requirements and confirm SOX, data protection and operational-resilience controls are built in before changes reach production. Plan and execute control design and operating-effectiveness testing across the ITGC portfolio, including sample selection, test execution, workpaper preparation, and conclusion on control adequacy. Maintain a detailed control inventory, test calendar and RACI for each control, and track identified deficiencies through root-cause analysis to validated remediation. Architecture Review and Controls by Design Review infrastructure architecture documents, design proposals, and change requests to assess SOX control implications prior to implementation; engage at design stage with architects and engineers to embed ITGCs, preventing control gaps from being introduced through system design. Provide compliance input into cloud migrations, platform modernisation, database upgrades, and identity management programmes. Develop and maintain a controls reference framework as a practical design guide for architects and platform owners. Regulatory Control Implementation and Testing - SOX, GDPR and DORA Embed GDPR technical and organisational controls (access control, encryption, logging, data retention and deletion, and audit trails) into infrastructure design and the ITGC framework, partnering closely with the Data Protection Officer and privacy function. Establish a consolidated regulatory control mapping so that a single, well-designed set of controls satisfies SOX, GDPR and DORA obligations, reducing duplication and control fatigue across the estate. Report on control implementation and testing status against regulatory requirements and track remediation of identified gaps through to closure. Advisory and Stakeholder Engagement Act as compliance advisor to application owners, architects, and engineering teams on ITGC-compliant access models, change workflows, and operational procedures. Participate in architecture review boards and governance forums as the designated compliance representative; serve as primary contact for internal audit and PwC for all infrastructure-related SOX testing, evidence requests, and findings management. Provide structured reporting to senior leadership on compliance posture, open findings, and remediation status. Technology Risk and Continuous Improvement Conduct periodic IT risk assessments and produce decision-ready risk reporting for senior management; assess compliance implications of new technologies and delivery models prior to adoption. Drive standardisation and continuous improvement of the infrastructure compliance programme; develop guidance materials and training for infrastructure and application teams. Operate effectively within an evolving regulatory environment, including GDPR, DORA, FCA requirements, and Lloyd's reporting obligations. Qualifications EXPERIENCE Minimum 5 years in IT compliance, IT external or internal audit, or technology risk within financial services, insurance, or Big 4. Proven ownership of SOX ITGC programmes including proactive monitoring and deficiency remediation. Track record of reviewing architectural artefacts from a compliance perspective and guiding technical teams on control implementation. Prior engagement with Big 4 external audit at a senior client-side level, or equivalent auditor-side experience. SOX ITGCs: logical access, change management, computer operations, and segregation of duties. Privileged access management tools: CyberArk and/or SailPoint. Infrastructure platforms: Windows Server, Linux/AIX, iSeries (AS400), Oracle Database, SQL Server, and DB2. Ability to critically assess architecture documents and identify control design implications. Working knowledge of EU regulatory frameworks affecting infrastructure, including DORA operational resilience requirements and GDPR technical and organisational controls. QUALIFICATIONS Required: Bachelor's degree in Computer Science, Information Technology, or a related discipline. Preferred: Certified Information Systems Auditor (CISA). Advantageous: CRISC, CISM, or equivalent professional qualification. Benefits Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Diversity & Inclusion Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 34458 Job Schedule Full time Regular or Temporary Regular Job Category Info Security and IT Compliance Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
Chubb Ltd. is seeking a Senior AI Engineer to lead the design, development, and deployment of generative AI solutions across underwriting, claims, and customer service. You will work at the intersection of software engineering and applied AI, delivering production-grade systems on Azure and Databricks. You will mentor engineers, influence technical direction, and drive AI features that address real insurance business problems.
10/07/2026
Full time
Chubb Ltd. is seeking a Senior AI Engineer to lead the design, development, and deployment of generative AI solutions across underwriting, claims, and customer service. You will work at the intersection of software engineering and applied AI, delivering production-grade systems on Azure and Databricks. You will mentor engineers, influence technical direction, and drive AI features that address real insurance business problems.
Chubb is looking for a Senior AI Engineer to lead the design, development, and deployment of advanced generative AI solutions that improve how we operate across the insurance lifecycle - from underwriting and claims to customer service and risk assessment. This role sits at the intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build high-quality AI solutions, but also help shape technical direction, guide architecture decisions, mentor other engineers, and influence how AI capabilities are delivered across the organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes. Architect and own search and retrieval solutions using Azure AI Search and MongoDB, including design of indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real insurance business problems. Own the full software lifecycle, including design, code review, testing, deployment, monitoring, and production support. Translate complex business requirements into well-scoped technical solutions with a strong focus on reliability, maintainability, failure modes, and operational excellence. Mentor and support junior engineers through design reviews, code reviews, and technical guidance. Contribute to technical standards, best practices, and reusable patterns for AI engineering across the team. Evaluate and improve model quality, retrieval strategies, prompt and agent design, and production performance over time. Partner with business and technical leaders to shape AI roadmaps and identify high-impact opportunities for automation and decision support. Qualifications Desired Qualifications: 6+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI or comparable Python web frameworks. Production experience with Docker and Kubernetes, including deployment and management on AKS. Strong hands on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi step agentic workflows and tool calling agents. Hands on experience with Azure AI Search or other vector/hybrid search solutions, including vector search, hybrid search, and retrieval evaluation. Experience with Databricks and PySpark for large scale data processing. Experience designing evaluation frameworks for LLM systems, including offline metrics, hallucination detection, and production monitoring. Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human in the loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. Experience mentoring engineers, leading technical discussions, and influencing architecture decisions. Preferred Attributes: Strong problem solving skills and the ability to work through ambiguity. Ability to balance speed of delivery with engineering quality and long term maintainability. Strong communication skills and the ability to explain technical concepts to both technical and non technical stakeholders. A proactive mindset with ownership of outcomes and continuous improvement. Interest in emerging AI technologies and practical application of LLMs in enterprise environments. What Success Looks Like: You lead the delivery of high impact AI solutions that are reliable, scalable, and production ready. You help the team make better technical decisions through strong architecture and engineering judgment. You raise the quality bar through mentoring, code reviews, and engineering best practices. You contribute to a stronger AI engineering capability across the organization. Join Chubb as a Senior AI Engineer and play a key role in shaping the future of intelligent, scalable, and enterprise ready AI solutions that create real impact across the insurance lifecycle. We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 34586 Job Schedule Full time Regular or Temporary Regular Job Category Analytics Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
10/07/2026
Full time
Chubb is looking for a Senior AI Engineer to lead the design, development, and deployment of advanced generative AI solutions that improve how we operate across the insurance lifecycle - from underwriting and claims to customer service and risk assessment. This role sits at the intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build high-quality AI solutions, but also help shape technical direction, guide architecture decisions, mentor other engineers, and influence how AI capabilities are delivered across the organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes. Architect and own search and retrieval solutions using Azure AI Search and MongoDB, including design of indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real insurance business problems. Own the full software lifecycle, including design, code review, testing, deployment, monitoring, and production support. Translate complex business requirements into well-scoped technical solutions with a strong focus on reliability, maintainability, failure modes, and operational excellence. Mentor and support junior engineers through design reviews, code reviews, and technical guidance. Contribute to technical standards, best practices, and reusable patterns for AI engineering across the team. Evaluate and improve model quality, retrieval strategies, prompt and agent design, and production performance over time. Partner with business and technical leaders to shape AI roadmaps and identify high-impact opportunities for automation and decision support. Qualifications Desired Qualifications: 6+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices. Proven experience designing and shipping production-grade AI or ML-enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI or comparable Python web frameworks. Production experience with Docker and Kubernetes, including deployment and management on AKS. Strong hands on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks. Proven production experience with LangGraph and LangChain, including multi step agentic workflows and tool calling agents. Hands on experience with Azure AI Search or other vector/hybrid search solutions, including vector search, hybrid search, and retrieval evaluation. Experience with Databricks and PySpark for large scale data processing. Experience designing evaluation frameworks for LLM systems, including offline metrics, hallucination detection, and production monitoring. Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human in the loop controls. Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred. MongoDB or other NoSQL database experience is preferred. Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred. Experience mentoring engineers, leading technical discussions, and influencing architecture decisions. Preferred Attributes: Strong problem solving skills and the ability to work through ambiguity. Ability to balance speed of delivery with engineering quality and long term maintainability. Strong communication skills and the ability to explain technical concepts to both technical and non technical stakeholders. A proactive mindset with ownership of outcomes and continuous improvement. Interest in emerging AI technologies and practical application of LLMs in enterprise environments. What Success Looks Like: You lead the delivery of high impact AI solutions that are reliable, scalable, and production ready. You help the team make better technical decisions through strong architecture and engineering judgment. You raise the quality bar through mentoring, code reviews, and engineering best practices. You contribute to a stronger AI engineering capability across the organization. Join Chubb as a Senior AI Engineer and play a key role in shaping the future of intelligent, scalable, and enterprise ready AI solutions that create real impact across the insurance lifecycle. We offer in return! Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program. Integrity. client focus. respect. excellence. teamwork Our core values dictate how we live and work. We're an ethical and honest company that's wholly committed to its clients. A business that's engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that's collaborative and supportive. Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know. Job Info Job Identification 34586 Job Schedule Full time Regular or Temporary Regular Job Category Analytics Engineering Business Unit United Kingdom Legal Employer Chubb European Group SE UK Branch
Chubb is seeking an Analytics Pricing Product Owner to support the EMEA Analytics team and act as the bridge between actuarial pricing teams and the data and technology squads that build pricing tools, analytical platforms, and monitoring datasets. This role owns the product backlog for pricing analytics capabilities, defines requirements grounded in P&C insurance domain knowledge, and drives delivery through agile ways of working. The role is expected to be analytically capable and will contribute directly to pricing analyses alongside product ownership responsibilities. The individual will work with actuarial systems, rating factor data, and portfolio monitoring tools to support pricing and profitability decisions across the business. Key Responsibilities Product Ownership Define, maintain, and prioritise the product backlog for pricing analytics capabilities, ensuring alignment with business strategy, OKRs, and KPIs. Articulate a clear product vision and roadmap for pricing tools and analytical datasets in consultation with actuarial, underwriting, and data stakeholders. Translate business pricing requirements into well-defined user stories with clear acceptance criteria and measurable outcomes. Act as the primary liaison between actuarial pricing teams and delivery squads, gathering and clarifying requirements and maintaining ongoing stakeholder alignment. Participate actively in Agile ceremonies including Sprint Planning, Daily Standups, Backlog Refinement, Quarterly Release Planning (QRP), and Quarterly Business Reviews (QBR). Collect and analyse delivery metrics, adoption data, and stakeholder feedback to drive continuous improvement of pricing products. Make time bound, accountable decisions on product priorities and trade offs; communicate progress, risks, and challenges proactively to stakeholders. Identify and upscale obstacles that may hinder development progress to optimise squad workflow and productivity. Conduct pricing analyses using P&C actuarial data, including rate level monitoring, loss ratio analysis, exposure trending, and profitability reviews. Support the development and validation of rating factor studies, technical pricing models, and portfolio monitoring outputs. Work with data from actuarial and pricing systems to produce actionable insights for pricing actuaries, underwriters, and senior management. Contribute to the design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets. Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs). Prepare clear, concise analytical outputs and presentations suitable for both technical and non technical audiences. Qualifications Required Qualifications Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related quantitative discipline. 2-4 years of experience in P&C insurance pricing, actuarial analysis, or a closely related analytical role. Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools - SQL, Python, R, or advanced Excel/VBA - for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance data structures (policy, claims, and rating factor data). Ability to translate complex analytical problems into clear business requirements and structured product backlog items. Strong written and verbal communication skills; able to work effectively across actuarial, underwriting, data engineering, and technology teams. Comfortable working independently in ambiguous environments with minimal day to day guidance. Preferred Qualifications Progress toward actuarial credentials (CAS or IFoA examinations). Experience with Agile delivery methodologies (Scrum, Kanban) and tools such as Jira. Familiarity with pricing platforms, rating engines, or commercial actuarial software (e.g., Guidewire, Radar, ResQ, Emblem). Experience with cloud data platforms or enterprise data warehouses (e.g., Snowflake, Azure, AWS). Experience with data visualisation tools (e.g., Power BI, Tableau). Prior experience in a product owner, business analyst, or product management capacity is advantageous but not required. Benefits Competitive salary & pension scheme Discretionary bonus scheme 25 days annual leave plus ability to purchase 5 additional days Hybrid working options Private Medical cover Employee Share Purchase Plan Life Assurance Subsidised gym membership Comprehensive Learning & development offerings Employee Assistance program Diversity & Inclusion Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.
08/07/2026
Full time
Chubb is seeking an Analytics Pricing Product Owner to support the EMEA Analytics team and act as the bridge between actuarial pricing teams and the data and technology squads that build pricing tools, analytical platforms, and monitoring datasets. This role owns the product backlog for pricing analytics capabilities, defines requirements grounded in P&C insurance domain knowledge, and drives delivery through agile ways of working. The role is expected to be analytically capable and will contribute directly to pricing analyses alongside product ownership responsibilities. The individual will work with actuarial systems, rating factor data, and portfolio monitoring tools to support pricing and profitability decisions across the business. Key Responsibilities Product Ownership Define, maintain, and prioritise the product backlog for pricing analytics capabilities, ensuring alignment with business strategy, OKRs, and KPIs. Articulate a clear product vision and roadmap for pricing tools and analytical datasets in consultation with actuarial, underwriting, and data stakeholders. Translate business pricing requirements into well-defined user stories with clear acceptance criteria and measurable outcomes. Act as the primary liaison between actuarial pricing teams and delivery squads, gathering and clarifying requirements and maintaining ongoing stakeholder alignment. Participate actively in Agile ceremonies including Sprint Planning, Daily Standups, Backlog Refinement, Quarterly Release Planning (QRP), and Quarterly Business Reviews (QBR). Collect and analyse delivery metrics, adoption data, and stakeholder feedback to drive continuous improvement of pricing products. Make time bound, accountable decisions on product priorities and trade offs; communicate progress, risks, and challenges proactively to stakeholders. Identify and upscale obstacles that may hinder development progress to optimise squad workflow and productivity. Conduct pricing analyses using P&C actuarial data, including rate level monitoring, loss ratio analysis, exposure trending, and profitability reviews. Support the development and validation of rating factor studies, technical pricing models, and portfolio monitoring outputs. Work with data from actuarial and pricing systems to produce actionable insights for pricing actuaries, underwriters, and senior management. Contribute to the design of data specifications, field mappings, and data quality assessments for pricing and rating factor datasets. Assist in the design and validation of modelling datasets and analytical frameworks that support statistical pricing models (e.g., GLMs). Prepare clear, concise analytical outputs and presentations suitable for both technical and non technical audiences. Qualifications Required Qualifications Bachelor's degree in Actuarial Science, Mathematics, Statistics, Economics, or a related quantitative discipline. 2-4 years of experience in P&C insurance pricing, actuarial analysis, or a closely related analytical role. Demonstrated knowledge of P&C insurance pricing concepts, including rate adequacy, loss development, rating factors, and exposure bases. Proficiency in data analysis tools - SQL, Python, R, or advanced Excel/VBA - for querying and analysing large insurance datasets. Experience working with actuarial or pricing datasets and familiarity with insurance data structures (policy, claims, and rating factor data). Ability to translate complex analytical problems into clear business requirements and structured product backlog items. Strong written and verbal communication skills; able to work effectively across actuarial, underwriting, data engineering, and technology teams. Comfortable working independently in ambiguous environments with minimal day to day guidance. Preferred Qualifications Progress toward actuarial credentials (CAS or IFoA examinations). Experience with Agile delivery methodologies (Scrum, Kanban) and tools such as Jira. Familiarity with pricing platforms, rating engines, or commercial actuarial software (e.g., Guidewire, Radar, ResQ, Emblem). Experience with cloud data platforms or enterprise data warehouses (e.g., Snowflake, Azure, AWS). Experience with data visualisation tools (e.g., Power BI, Tableau). Prior experience in a product owner, business analyst, or product management capacity is advantageous but not required. Benefits Competitive salary & pension scheme Discretionary bonus scheme 25 days annual leave plus ability to purchase 5 additional days Hybrid working options Private Medical cover Employee Share Purchase Plan Life Assurance Subsidised gym membership Comprehensive Learning & development offerings Employee Assistance program Diversity & Inclusion Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.
Chubb Ltd. seeks an Analytics Pricing Product Owner to bridge actuarial pricing teams and technology squads focused on pricing tools and analytics. This role involves overseeing the product backlog and contributing to pricing analyses. Candidates should have 2-4 years of experience in P&C insurance pricing and a relevant bachelor's degree. The position offers a competitive salary, hybrid working options, and a range of benefits including private medical cover and a discretionary bonus scheme.
08/07/2026
Full time
Chubb Ltd. seeks an Analytics Pricing Product Owner to bridge actuarial pricing teams and technology squads focused on pricing tools and analytics. This role involves overseeing the product backlog and contributing to pricing analyses. Candidates should have 2-4 years of experience in P&C insurance pricing and a relevant bachelor's degree. The position offers a competitive salary, hybrid working options, and a range of benefits including private medical cover and a discretionary bonus scheme.