Lloyd's is the world's leading insurance and reinsurance marketplace, bringing together the world's leading risk takers to advance global progress.Our strategy is focused on delivering strong underwriting performance, operating an efficient and flexible marketplace, and maximising the capital advantage of the Lloyd's market - while continuing to build a Lloyd's we are proud of.How we deliver this, matters. We take the risk, make things happen, and own the outcome - working together across our global network to turn insight into impact.Lloyd's is seeking to recruit a Senior Manager, Member Capital Systems & Analytics to lead the data, systems and processes that underpin Funds at Lloyd's requirements for our members. You'll play a pivotal role in capital setting, managing critical datasets, developing innovative reporting and analytics solutions, and ensuring the market has access to accurate, trusted information that supports informed decision-making.This is an opportunity to combine technical expertise, business insight and stakeholder influence in a role with visibility across Lloyd's, the market and external regulators.The roleYou'll own the end-to-end management of the Member Capital data estate, ensuring the systems, tools and reporting processes that support capital setting remain accurate, robust and fit for the future. Working across Finance, Actuarial, Capital and Planning, and market stakeholders, you'll help shape how capital data is collected, governed, analysed and delivered. You'll also identify opportunities to improve efficiency through modern technologies and automation while maintaining the highest standards of data quality and control.What you'll be doingCapital data and reportingLead the collection, validation and maintenance of syndicate capital data and related datasets.Produce high-quality management information and regulatory reporting for internal governance forums and external stakeholders.Own and continuously improve the Lloyd's Capital Return process and associated data collection platforms.Develop reporting, validation and audit tools that strengthen data quality and support effective decision-making.Support quarterly and annual regulatory and rating agency submissions.Systems, analytics and innovationManage and enhance the systems, databases and reporting tools that support member capital activities.Drive process improvements through automation, data transformation and modern analytics solutions.Maintain capital oversight reporting tools and data repositories.Support the delivery of accurate capital data into the Lloyd's Internal Model.Provide technical expertise across capital-related projects and initiatives.Market and stakeholder engagementPartner with managing agents and market participants to implement reporting changes and improve data quality.Respond to capital-setting queries and provide clear analysis and guidance.Support new market entrants through the capital modelling process.Represent Member Capital within data governance and stewardship forums.Deliver demonstrations, training and technical support to internal and external users.Leadership and collaborationAct as a technical expert and trusted point of contact for the wider team.Support the development of analysts across Member Capital and the wider Predictive Analytics team.Help coordinate team priorities, workloads and key delivery milestones.Contribute to recruitment, capability development and continuous improvement initiatives.What you'll bringWe're interested in people who combine strong technical capability with curiosity, commercial awareness and a drive to improve how things are done.Strong experience working with large, complex datasets and data management processes.Experience using Power BI, Power Query, Python and Access to deliver reporting and analytical solutions.Experience developing, maintaining or improving business-critical systems and processes.The ability to communicate complex information clearly to a range of stakeholders.A continuous improvement mindset with experience delivering change and driving efficiencies.A collaborative approach and confidence working across technical and non-technical teams.Experience within insurance, reinsurance, London Market or financial services environments (would be beneficial)Knowledge of capital modelling, prudential regulation or non-life insurance capital frameworks.Experience supporting regulatory reporting or governance processes.Exposure to data governance, data stewardship or data quality initiatives.Being inclusive at Lloyd's is integral to how we work - and how we deliver impact.We aim to build a diverse, inclusive environment that reflects the global markets we serve, where everyone is treated with dignity and respect and supported to reach their full potential.We take the risk by challenging traditional thinking and being proactive about inclusion. That means being open and positive about workplace adjustments, prioritising health and wellbeing, and investing in diversity and inclusion training so everyone feels able to contribute and succeed.We make things happen by turning our commitment into action. Through employee networks, mentoring, volunteering opportunities and sustained investment in professional development, we create an environment where inclusion is experienced day to day - not just talked about.We own the outcome by focusing on impact. By bringing together diverse perspectives and the best minds in the industry, we work collaboratively with underwriters and brokers to create innovative, responsive solutions that share risk and solve complex problems across global markets.Should you require any additional support with your application, or any adjustments, please click the following link;:/ BHksnLxjsWnPVFM!Zw-sfFLbBNwtuHUIxAmJhLtq95RHC4LwVQ7lnk_w-3aFwpTfsLqE3qds0B5si5JOpqnfgYCoarWa3kTt1ET-Wfj94vZY_A$Please note, clicking on this link does not register your application for the vacancy
21/07/2026
Full time
Lloyd's is the world's leading insurance and reinsurance marketplace, bringing together the world's leading risk takers to advance global progress.Our strategy is focused on delivering strong underwriting performance, operating an efficient and flexible marketplace, and maximising the capital advantage of the Lloyd's market - while continuing to build a Lloyd's we are proud of.How we deliver this, matters. We take the risk, make things happen, and own the outcome - working together across our global network to turn insight into impact.Lloyd's is seeking to recruit a Senior Manager, Member Capital Systems & Analytics to lead the data, systems and processes that underpin Funds at Lloyd's requirements for our members. You'll play a pivotal role in capital setting, managing critical datasets, developing innovative reporting and analytics solutions, and ensuring the market has access to accurate, trusted information that supports informed decision-making.This is an opportunity to combine technical expertise, business insight and stakeholder influence in a role with visibility across Lloyd's, the market and external regulators.The roleYou'll own the end-to-end management of the Member Capital data estate, ensuring the systems, tools and reporting processes that support capital setting remain accurate, robust and fit for the future. Working across Finance, Actuarial, Capital and Planning, and market stakeholders, you'll help shape how capital data is collected, governed, analysed and delivered. You'll also identify opportunities to improve efficiency through modern technologies and automation while maintaining the highest standards of data quality and control.What you'll be doingCapital data and reportingLead the collection, validation and maintenance of syndicate capital data and related datasets.Produce high-quality management information and regulatory reporting for internal governance forums and external stakeholders.Own and continuously improve the Lloyd's Capital Return process and associated data collection platforms.Develop reporting, validation and audit tools that strengthen data quality and support effective decision-making.Support quarterly and annual regulatory and rating agency submissions.Systems, analytics and innovationManage and enhance the systems, databases and reporting tools that support member capital activities.Drive process improvements through automation, data transformation and modern analytics solutions.Maintain capital oversight reporting tools and data repositories.Support the delivery of accurate capital data into the Lloyd's Internal Model.Provide technical expertise across capital-related projects and initiatives.Market and stakeholder engagementPartner with managing agents and market participants to implement reporting changes and improve data quality.Respond to capital-setting queries and provide clear analysis and guidance.Support new market entrants through the capital modelling process.Represent Member Capital within data governance and stewardship forums.Deliver demonstrations, training and technical support to internal and external users.Leadership and collaborationAct as a technical expert and trusted point of contact for the wider team.Support the development of analysts across Member Capital and the wider Predictive Analytics team.Help coordinate team priorities, workloads and key delivery milestones.Contribute to recruitment, capability development and continuous improvement initiatives.What you'll bringWe're interested in people who combine strong technical capability with curiosity, commercial awareness and a drive to improve how things are done.Strong experience working with large, complex datasets and data management processes.Experience using Power BI, Power Query, Python and Access to deliver reporting and analytical solutions.Experience developing, maintaining or improving business-critical systems and processes.The ability to communicate complex information clearly to a range of stakeholders.A continuous improvement mindset with experience delivering change and driving efficiencies.A collaborative approach and confidence working across technical and non-technical teams.Experience within insurance, reinsurance, London Market or financial services environments (would be beneficial)Knowledge of capital modelling, prudential regulation or non-life insurance capital frameworks.Experience supporting regulatory reporting or governance processes.Exposure to data governance, data stewardship or data quality initiatives.Being inclusive at Lloyd's is integral to how we work - and how we deliver impact.We aim to build a diverse, inclusive environment that reflects the global markets we serve, where everyone is treated with dignity and respect and supported to reach their full potential.We take the risk by challenging traditional thinking and being proactive about inclusion. That means being open and positive about workplace adjustments, prioritising health and wellbeing, and investing in diversity and inclusion training so everyone feels able to contribute and succeed.We make things happen by turning our commitment into action. Through employee networks, mentoring, volunteering opportunities and sustained investment in professional development, we create an environment where inclusion is experienced day to day - not just talked about.We own the outcome by focusing on impact. By bringing together diverse perspectives and the best minds in the industry, we work collaboratively with underwriters and brokers to create innovative, responsive solutions that share risk and solve complex problems across global markets.Should you require any additional support with your application, or any adjustments, please click the following link;:/ BHksnLxjsWnPVFM!Zw-sfFLbBNwtuHUIxAmJhLtq95RHC4LwVQ7lnk_w-3aFwpTfsLqE3qds0B5si5JOpqnfgYCoarWa3kTt1ET-Wfj94vZY_A$Please note, clicking on this link does not register your application for the vacancy
At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns. Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with M&G to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of M&G, AMS are looking for a Senior Data Engineer (Finance/Life Insurance) based in the Reading, Edinburgh or Stirling office (2 days per week in the office) for a 6 month contract. Job description - the role The Data Engineer is responsible for designing, building, and optimising data solutions that enable reliable and efficient access to data for use in actuarial modelling and assumption setting. The Data Engineer will provide specialist expertise in data engineering, ensuring scalable, high-quality data pipelines and architectures are in place to support the use of policyholder data for actuarial modelling and assumption setting. The role contributes to shaping engineering standards and best practices, ensuring data is accessible, governed and aligned with business priorities. Candidate Profile: Key accountabilities, skills & experience What you'll do: Design, build and maintain scalable data pipelines and data architectures to validate and transform data to meet actuarial modelling needs. Ensure data quality, integrity, and consistency through robust validation, monitoring, and governance practices. Collaborate with stakeholders to understand data requirements and translate them into efficient and effective technical solutions. Optimise data systems and processes to improve performance, reliability, and scalability. Provide technical expertise and guidance on data engineering approaches, tools, and best practices. Support integration of multiple data sources to create cohesive, accessible, and trusted datasets. Contribute to the continuous improvement of data platforms, frameworks, and engineering standards. Lead the work of other data engineers and analysts to ensure consistency and high standards across the team, including people management as required. The skills you'll need: Strong expertise in data engineering concepts, including data pipelines, storage and transformation. Proficiency in data engineering tools, programming languages, and database technologies. Experience in performance tuning and optimisation. Programming and Scripting for data processing (Spark, Spark SQL, Python, pyspark). Data modelling and architecture (in Azure Databricks). Understanding of data governance, security, and data quality management principles. Ability to design scalable and efficient data solutions aligned to business needs. Ability to communicate technical concepts clearly to both technical and non-technical audiences. Experience working in Financial Services or a similar heavily regulated environment. Experience in Life Insurance (desirable). Next steps We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.
20/07/2026
Contractor
At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns. Through our behaviours of telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent. AMS is a global workforce solutions partner committed to creating inclusive, dynamic, and future-ready workplaces. We help organisations adapt, grow, and thrive in an ever-evolving world by building, shaping, and optimising diverse talent strategies. We partner with M&G to support their contingent recruitment processes. Acting as an extension of their recruitment teams, we connect them with skilled interim and temporary professionals, fostering workplaces where everyone can contribute and succeed. On behalf of M&G, AMS are looking for a Senior Data Engineer (Finance/Life Insurance) based in the Reading, Edinburgh or Stirling office (2 days per week in the office) for a 6 month contract. Job description - the role The Data Engineer is responsible for designing, building, and optimising data solutions that enable reliable and efficient access to data for use in actuarial modelling and assumption setting. The Data Engineer will provide specialist expertise in data engineering, ensuring scalable, high-quality data pipelines and architectures are in place to support the use of policyholder data for actuarial modelling and assumption setting. The role contributes to shaping engineering standards and best practices, ensuring data is accessible, governed and aligned with business priorities. Candidate Profile: Key accountabilities, skills & experience What you'll do: Design, build and maintain scalable data pipelines and data architectures to validate and transform data to meet actuarial modelling needs. Ensure data quality, integrity, and consistency through robust validation, monitoring, and governance practices. Collaborate with stakeholders to understand data requirements and translate them into efficient and effective technical solutions. Optimise data systems and processes to improve performance, reliability, and scalability. Provide technical expertise and guidance on data engineering approaches, tools, and best practices. Support integration of multiple data sources to create cohesive, accessible, and trusted datasets. Contribute to the continuous improvement of data platforms, frameworks, and engineering standards. Lead the work of other data engineers and analysts to ensure consistency and high standards across the team, including people management as required. The skills you'll need: Strong expertise in data engineering concepts, including data pipelines, storage and transformation. Proficiency in data engineering tools, programming languages, and database technologies. Experience in performance tuning and optimisation. Programming and Scripting for data processing (Spark, Spark SQL, Python, pyspark). Data modelling and architecture (in Azure Databricks). Understanding of data governance, security, and data quality management principles. Ability to design scalable and efficient data solutions aligned to business needs. Ability to communicate technical concepts clearly to both technical and non-technical audiences. Experience working in Financial Services or a similar heavily regulated environment. Experience in Life Insurance (desirable). Next steps We have a diverse workforce and an inclusive culture at M&G plc, underpinned by our policies and our employee-led networks who provide networking opportunities, advice and support for the diverse communities our colleagues represent. Regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.
This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry. At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations. How does this role contribute to our collective success? As a Data Quality Business Partner within AXIS, you will support the Data & Analytics Transformation programme, which aims to replace our legacy data estate and modernise it through a new data platform. Your role will focus on helping ensure the integrity, accuracy, and usability of data across the organisation. Working closely with technical teams and business stakeholders, you will apply data quality best practices and contribute to embedding them into operational workflows and strategic decision making. What will you do in this role? Business Partnering and Stakeholder Engagement Collaborate with business stakeholders (e.g. underwriting, claims, actuarial, finance) to understand data quality needs and pain points, acting as a liaison between business units and the data quality team to ensure alignment and address challenges. Translate business requirements into data quality rules and validation checks. Collaborate with data stewards, analysts, engineers, and governance teams to ensure alignment on data quality goals. Assist in workshops and training sessions to raise awareness of data quality issues. Contribute to cross functional projects by supporting data quality activities and providing input based on established practices. Data Quality Management Execute routine monitoring and assessment of data quality across core insurance systems (e.g. policy, claims, underwriting, exposure management, pricing). Prepare dashboards and reports to support data quality performance tracking. Identify data anomalies and work with relevant teams to resolve root causes and recommend corrective actions. Conduct data profiling and analysis to identify trends, gaps, and improvement opportunities, with direction from senior colleagues. Collaborate with technical teams and business stakeholders to support the application of data quality standards in operational processes. Process Improvement Participate in regular reviews with stakeholders to support process refinement based on data insights. Implement data quality checks into existing business processes (e.g., onboarding, reporting, compliance). Support efforts to automate data cleansing and enrichment processes as directed. Ensure that system upgrades or migrations include data quality considerations. Contribute to the design and testing of new systems and data pipelines by following detailed guidance and specifications. You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role. About You We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have Experience in data quality, data analysis, or data governance within the insurance sector. Understanding of insurance operations and data flows (e.g. policy lifecycle, claims processing). Working knowledge in SQL, Excel, and data visualization tools (e.g. Power BI, Tableau). Familiarity with data quality and data governance tools and frameworks (e.g. DQPro, Soda, DDW). Strong communication and stakeholder management skills. Analytical mindset with attention to detail and willingness to learn and solve problems. Role Factors Be in the office 3 days per week. What we offer You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more. We are shaping the direction of Insurance and Reinsurance during a critical and exciting time for the industry. Whether you are a student approaching graduation or a seasoned professional looking for a new environment, AXIS has the right challenges and career opportunities for you. At AXIS, we value each individual and recognize that attracting and retaining the right people is essential to the success of our company. We offer a comprehensive and competitive benefits package which includes medical plans for employees and their families, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more.
14/07/2026
Full time
This is your opportunity to join AXIS Capital - a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry. At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations. How does this role contribute to our collective success? As a Data Quality Business Partner within AXIS, you will support the Data & Analytics Transformation programme, which aims to replace our legacy data estate and modernise it through a new data platform. Your role will focus on helping ensure the integrity, accuracy, and usability of data across the organisation. Working closely with technical teams and business stakeholders, you will apply data quality best practices and contribute to embedding them into operational workflows and strategic decision making. What will you do in this role? Business Partnering and Stakeholder Engagement Collaborate with business stakeholders (e.g. underwriting, claims, actuarial, finance) to understand data quality needs and pain points, acting as a liaison between business units and the data quality team to ensure alignment and address challenges. Translate business requirements into data quality rules and validation checks. Collaborate with data stewards, analysts, engineers, and governance teams to ensure alignment on data quality goals. Assist in workshops and training sessions to raise awareness of data quality issues. Contribute to cross functional projects by supporting data quality activities and providing input based on established practices. Data Quality Management Execute routine monitoring and assessment of data quality across core insurance systems (e.g. policy, claims, underwriting, exposure management, pricing). Prepare dashboards and reports to support data quality performance tracking. Identify data anomalies and work with relevant teams to resolve root causes and recommend corrective actions. Conduct data profiling and analysis to identify trends, gaps, and improvement opportunities, with direction from senior colleagues. Collaborate with technical teams and business stakeholders to support the application of data quality standards in operational processes. Process Improvement Participate in regular reviews with stakeholders to support process refinement based on data insights. Implement data quality checks into existing business processes (e.g., onboarding, reporting, compliance). Support efforts to automate data cleansing and enrichment processes as directed. Ensure that system upgrades or migrations include data quality considerations. Contribute to the design and testing of new systems and data pipelines by following detailed guidance and specifications. You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role. About You We encourage you to bring your own experience and expertise to the table, so while there are some qualifications and experiences, we need you to have, we are open to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have Experience in data quality, data analysis, or data governance within the insurance sector. Understanding of insurance operations and data flows (e.g. policy lifecycle, claims processing). Working knowledge in SQL, Excel, and data visualization tools (e.g. Power BI, Tableau). Familiarity with data quality and data governance tools and frameworks (e.g. DQPro, Soda, DDW). Strong communication and stakeholder management skills. Analytical mindset with attention to detail and willingness to learn and solve problems. Role Factors Be in the office 3 days per week. What we offer You will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid annual leave, and much more. We are shaping the direction of Insurance and Reinsurance during a critical and exciting time for the industry. Whether you are a student approaching graduation or a seasoned professional looking for a new environment, AXIS has the right challenges and career opportunities for you. At AXIS, we value each individual and recognize that attracting and retaining the right people is essential to the success of our company. We offer a comprehensive and competitive benefits package which includes medical plans for employees and their families, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more.
At Canopius, our delivery teams are responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. The Data Architect owns the end-to-end design and evolution of our enterprise data architecture, defining how data is stored, integrated, secured and managed across solutions. The ideal candidate will be an experienced data architect who is excited by the opportunity to shape enterprise data standards, drive data re-use and interoperability across the organisation, and leverage modern technologies to simplify the data estate and unlock greater value from data. You should be able to understand business problems and translate them into robust, efficient and well-governed data designs, including conceptual, logical and physical data models, while owning and maintaining data modelling standards and architecture principles. You should be comfortable collaborating in project teams and cross-departmental squads including business analysts, data analysts, developers and solution architects to deliver business solutions. The role also owns the end-to-end data architecture of our enterprise Lakehouse platform on Databricks, including data modelling, storage patterns, integration approaches, data sharing patterns and governance guardrails. In addition, the role is responsible for shaping the future-state data architecture, supporting transition roadmaps, and driving simplification through the rationalisation of legacy data assets and technical debt. The candidate should be a practical, delivery-focused architect with strong interpersonal skills and a proven track record of producing data architecture artefacts, shaping solution designs and working closely with delivery teams to implement robust data solutions. Responsibilities Define conceptual, logical and physical data models, information models and associated data dictionaries to meet enterprise and delivery-specific requirements. Own the end-to-end architecture of the enterprise Lakehouse platform on Databricks, including data modelling, storage layers, processing patterns, integration approaches and data sharing standards. Define and evolve the future-state data architecture and associated transition roadmaps, identifying opportunities to simplify the landscape through rationalisation of legacy data assets, duplicated capabilities and technical debt. Define data architecture principles, guardrails, standards and reusable patterns, ensuring alignment to enterprise naming conventions, canonical business definitions and domain boundaries. Define and evolve insurance data models and standards across underwriting, policy, claims, finance, actuarial and regulatory use cases. Define security, privacy and regulatory requirements for data architecture, including data classification, access control, retention, lineage, metadata and information quality controls. Collaborate with business stakeholders, delivery teams and solution architects to capture data requirements, shape solution options and communicate risks, issues and trade-offs. Partner closely with data engineers and solution teams to ensure architecture designs can be implemented scaled and aligned to modern engineering patterns and best practices. Define data integration solutions and source to target mappings between business applications as well as between applications and the data platform, to ensure that data is synchronised promptly as required and remains in line with relevant data models and data quality controls. Produce and maintain the reference data catalogue, ensuring that reference data is understood, fit for purpose, aligned with enterprise standards and appropriately versioned and maintained. Review and contribute to solution design artefacts in collaboration with Data Governance and Compliance to ensure that data quality, governance, security and privacy requirements are addressed appropriately, and contribute to architecture decision forums and governance processes for design assurance and sign-off. Specify key data fields, data capture rules, validation rules and reference data requirements required to support critical business processes and data solutions. Own integration and data sharing standards, including interface specifications such as JSON and REST APIs, ensuring that structures support interoperability, decoupling and future-proofing. Represent information in forms appropriate to the solution context, including UML-friendly models, JSON structures and relational models, and evolve ways of working to improve maintainability and re-use. Design for performance, scalability, resilience and cost efficiency across the data platform and associated data services. Mentor delivery team members on best practices in data architecture and support requirement gathering across data flows, transformations, validation rules and non-functional requirements. Skills and Experience Proven track record of delivering data architecture artefacts for a variety of solutions. Experience of creating information models for analytical and operational use cases. Proficient in modelling and architecture tools such as Erwin and Sparx EA, with the ability to apply sound architecture principles and modelling practices regardless of tooling. Strong knowledge of SQL, relational modelling and JSON. Strong experience designing data architectures for modern cloud data platforms, including Databricks and Azure. Experience defining architecture principles, reusable patterns and guardrails rather than relying solely on tool-specific approaches. Prior experience of data model and data management design within delivery projects for underwriting, policy administration or claims applications. Experience defining metadata, lineage and data quality monitoring requirements within enterprise data platforms. Understanding of data security, privacy, access control and regulatory considerations relevant to enterprise and insurance data. Experience designing for performance, scalability, resilience and cost efficiency across data platforms and data services. Proven experience of stakeholder management skills at all levels, with the ability to influence senior business and technology stakeholders. Good communication and presentation skills; able to convey ideas, information and concepts effectively with business stakeholders and team members. Must be able to work independently on certain tasks, as well as in team environments. Experience working in cross-functional teams and mentoring project team members. Understanding of London or Lloyd's Market insurance conceptual data models and associated business data standards would be beneficial. Experience using enterprise architecture tooling such as Bizzdesign Horizzon would be beneficial. About Us Our benefits We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes hybrid working, a competitive base salary, non-contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health. Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd's of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda. At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results. Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected. We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds. We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.
10/07/2026
Full time
At Canopius, our delivery teams are responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability. The Data Architect owns the end-to-end design and evolution of our enterprise data architecture, defining how data is stored, integrated, secured and managed across solutions. The ideal candidate will be an experienced data architect who is excited by the opportunity to shape enterprise data standards, drive data re-use and interoperability across the organisation, and leverage modern technologies to simplify the data estate and unlock greater value from data. You should be able to understand business problems and translate them into robust, efficient and well-governed data designs, including conceptual, logical and physical data models, while owning and maintaining data modelling standards and architecture principles. You should be comfortable collaborating in project teams and cross-departmental squads including business analysts, data analysts, developers and solution architects to deliver business solutions. The role also owns the end-to-end data architecture of our enterprise Lakehouse platform on Databricks, including data modelling, storage patterns, integration approaches, data sharing patterns and governance guardrails. In addition, the role is responsible for shaping the future-state data architecture, supporting transition roadmaps, and driving simplification through the rationalisation of legacy data assets and technical debt. The candidate should be a practical, delivery-focused architect with strong interpersonal skills and a proven track record of producing data architecture artefacts, shaping solution designs and working closely with delivery teams to implement robust data solutions. Responsibilities Define conceptual, logical and physical data models, information models and associated data dictionaries to meet enterprise and delivery-specific requirements. Own the end-to-end architecture of the enterprise Lakehouse platform on Databricks, including data modelling, storage layers, processing patterns, integration approaches and data sharing standards. Define and evolve the future-state data architecture and associated transition roadmaps, identifying opportunities to simplify the landscape through rationalisation of legacy data assets, duplicated capabilities and technical debt. Define data architecture principles, guardrails, standards and reusable patterns, ensuring alignment to enterprise naming conventions, canonical business definitions and domain boundaries. Define and evolve insurance data models and standards across underwriting, policy, claims, finance, actuarial and regulatory use cases. Define security, privacy and regulatory requirements for data architecture, including data classification, access control, retention, lineage, metadata and information quality controls. Collaborate with business stakeholders, delivery teams and solution architects to capture data requirements, shape solution options and communicate risks, issues and trade-offs. Partner closely with data engineers and solution teams to ensure architecture designs can be implemented scaled and aligned to modern engineering patterns and best practices. Define data integration solutions and source to target mappings between business applications as well as between applications and the data platform, to ensure that data is synchronised promptly as required and remains in line with relevant data models and data quality controls. Produce and maintain the reference data catalogue, ensuring that reference data is understood, fit for purpose, aligned with enterprise standards and appropriately versioned and maintained. Review and contribute to solution design artefacts in collaboration with Data Governance and Compliance to ensure that data quality, governance, security and privacy requirements are addressed appropriately, and contribute to architecture decision forums and governance processes for design assurance and sign-off. Specify key data fields, data capture rules, validation rules and reference data requirements required to support critical business processes and data solutions. Own integration and data sharing standards, including interface specifications such as JSON and REST APIs, ensuring that structures support interoperability, decoupling and future-proofing. Represent information in forms appropriate to the solution context, including UML-friendly models, JSON structures and relational models, and evolve ways of working to improve maintainability and re-use. Design for performance, scalability, resilience and cost efficiency across the data platform and associated data services. Mentor delivery team members on best practices in data architecture and support requirement gathering across data flows, transformations, validation rules and non-functional requirements. Skills and Experience Proven track record of delivering data architecture artefacts for a variety of solutions. Experience of creating information models for analytical and operational use cases. Proficient in modelling and architecture tools such as Erwin and Sparx EA, with the ability to apply sound architecture principles and modelling practices regardless of tooling. Strong knowledge of SQL, relational modelling and JSON. Strong experience designing data architectures for modern cloud data platforms, including Databricks and Azure. Experience defining architecture principles, reusable patterns and guardrails rather than relying solely on tool-specific approaches. Prior experience of data model and data management design within delivery projects for underwriting, policy administration or claims applications. Experience defining metadata, lineage and data quality monitoring requirements within enterprise data platforms. Understanding of data security, privacy, access control and regulatory considerations relevant to enterprise and insurance data. Experience designing for performance, scalability, resilience and cost efficiency across data platforms and data services. Proven experience of stakeholder management skills at all levels, with the ability to influence senior business and technology stakeholders. Good communication and presentation skills; able to convey ideas, information and concepts effectively with business stakeholders and team members. Must be able to work independently on certain tasks, as well as in team environments. Experience working in cross-functional teams and mentoring project team members. Understanding of London or Lloyd's Market insurance conceptual data models and associated business data standards would be beneficial. Experience using enterprise architecture tooling such as Bizzdesign Horizzon would be beneficial. About Us Our benefits We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes hybrid working, a competitive base salary, non-contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health. Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd's of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda. At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results. Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected. We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds. We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.
Senior Business Analyst - Finance & Actuarial Role Overview The purpose of this role is to analyse business needs, document requirements, manage stakeholders, and support testing processes to ensure successful solutions are delivered. Location & Type London Permanent, Full-Time (Hybrid) Responsibilities Work with stakeholders to implement business led change and support business objectives. Serve as a subject matter expert for key internal stakeholders, ensuring high levels of customer satisfaction. Assist in development of project documentation and best practices. Support end users by ensuring thorough understanding of user requirements and providing relevant process documentation. Collaborate with developers and subject matter experts to develop functional specifications that design and document the desired outcome of system enhancement/development. Participate in implementation planning and support successful outcomes. Complete system and procedure performance testing, providing recommendations for improvement. Qualifications Background in insurance is essential. Finance / Actuarial experience, particularly exposure to regulatory environments or finance transformation initiatives is advantageous. Ability to translate business needs into technical requirements and user stories. Strong stakeholder management and communication skills. Mindset that challenges the status quo and proposes new ideas. Experience working closely with technology/delivery teams. Working understanding of process integrated with technology systems in an agile framework. Strong organisational skills - able to manage multiple deliverables. Business analysis, technical analysis, and process improvement experience. Broad understanding in IT, exposure to business process re engineering, commercial analysis, development and monitoring of SLAs, and business transformation. Data analysis experience. Process mapping experience. Requirements Having the right to work in the UK is required for this role. Sponsorship may be considered at QBE's discretion. Benefits 30 days holiday a year with the option to buy up to 2 additional days. Flexible working - balancing work and life is important; flexible working opportunities are open to all, including part time, job share and compressed hours. Pension - automatically enrolled into the QBE pension plan; employer contributions of 10% of basic salary. Private medical insurance - fully comprehensive private medical cover for you and your family. Family friendly policies - offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent. Short term remote work abroad - can request up to 20 days per year to work remotely from certain locations abroad. Sustainable investing - pension strategy supports a net zero goal; investment focus on green businesses. Cycle to Work - benefit from exercise whilst making commute greener; bike/ accessories up to £5,000. Equal Employment Opportunity QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
10/07/2026
Full time
Senior Business Analyst - Finance & Actuarial Role Overview The purpose of this role is to analyse business needs, document requirements, manage stakeholders, and support testing processes to ensure successful solutions are delivered. Location & Type London Permanent, Full-Time (Hybrid) Responsibilities Work with stakeholders to implement business led change and support business objectives. Serve as a subject matter expert for key internal stakeholders, ensuring high levels of customer satisfaction. Assist in development of project documentation and best practices. Support end users by ensuring thorough understanding of user requirements and providing relevant process documentation. Collaborate with developers and subject matter experts to develop functional specifications that design and document the desired outcome of system enhancement/development. Participate in implementation planning and support successful outcomes. Complete system and procedure performance testing, providing recommendations for improvement. Qualifications Background in insurance is essential. Finance / Actuarial experience, particularly exposure to regulatory environments or finance transformation initiatives is advantageous. Ability to translate business needs into technical requirements and user stories. Strong stakeholder management and communication skills. Mindset that challenges the status quo and proposes new ideas. Experience working closely with technology/delivery teams. Working understanding of process integrated with technology systems in an agile framework. Strong organisational skills - able to manage multiple deliverables. Business analysis, technical analysis, and process improvement experience. Broad understanding in IT, exposure to business process re engineering, commercial analysis, development and monitoring of SLAs, and business transformation. Data analysis experience. Process mapping experience. Requirements Having the right to work in the UK is required for this role. Sponsorship may be considered at QBE's discretion. Benefits 30 days holiday a year with the option to buy up to 2 additional days. Flexible working - balancing work and life is important; flexible working opportunities are open to all, including part time, job share and compressed hours. Pension - automatically enrolled into the QBE pension plan; employer contributions of 10% of basic salary. Private medical insurance - fully comprehensive private medical cover for you and your family. Family friendly policies - offer 26 weeks leave at full pay regardless of gender identity, sexual orientation or how you become a parent. Short term remote work abroad - can request up to 20 days per year to work remotely from certain locations abroad. Sustainable investing - pension strategy supports a net zero goal; investment focus on green businesses. Cycle to Work - benefit from exercise whilst making commute greener; bike/ accessories up to £5,000. Equal Employment Opportunity QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.
Senior Business Analyst Starting Salary: c. £70,000 Depending on skills and experience Location: York, Bristol or Norwich with 50% office attendance As a Senior Business Analyst, you will be playing a key role in delivering the programme of change to drive the IT and Aviva strategies, whilst ensuring key business goals are understood and requirements are documented in conjunction with key business stakeholders. This will include being involved in shaping/pre inception work and assessing the initial impact of new initiatives/projects. Delivering for our customers is critical so you will need to consider their needs and be prepared to challenge decisions that are not in their best interests. Skills and experience we're looking for: A proven track record working in a business analysis role in financial services Knowledge of Finance change, Data analysis, Finance reporting across accounting and actuarial teams in a regulated financial services environment. e.g. Solvency, IFRS Ability to communicate with and influence business stakeholders whilst facilitating change. Comfortable working with accountant and actuaries. Knowledge of change management processes along with a willingness to try new ways of working Good analytical, decision making and problem solving skills What you'll get for this role: Starting salary c. £70,000 (depending on location, skills, experience, and qualifications) Bonus opportunity 10% of annual salary, (actual amount depends on your performance and Aviva's) Generous pension scheme e.g. if you put in 8%, Aviva adds 14% 25 days/29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days Aviva funded Private Medical Benefit to help you get expert support when you need it Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme Brilliantly supportive policies including parental and carer's leave Flexible benefits to suit you, including sustainability options such as cycle to work Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others We take your wellbeing seriously with lots of support and tools Aviva is for everyone: We're inclusive and welcome everyone - we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don't, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working - spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.
08/07/2026
Full time
Senior Business Analyst Starting Salary: c. £70,000 Depending on skills and experience Location: York, Bristol or Norwich with 50% office attendance As a Senior Business Analyst, you will be playing a key role in delivering the programme of change to drive the IT and Aviva strategies, whilst ensuring key business goals are understood and requirements are documented in conjunction with key business stakeholders. This will include being involved in shaping/pre inception work and assessing the initial impact of new initiatives/projects. Delivering for our customers is critical so you will need to consider their needs and be prepared to challenge decisions that are not in their best interests. Skills and experience we're looking for: A proven track record working in a business analysis role in financial services Knowledge of Finance change, Data analysis, Finance reporting across accounting and actuarial teams in a regulated financial services environment. e.g. Solvency, IFRS Ability to communicate with and influence business stakeholders whilst facilitating change. Comfortable working with accountant and actuaries. Knowledge of change management processes along with a willingness to try new ways of working Good analytical, decision making and problem solving skills What you'll get for this role: Starting salary c. £70,000 (depending on location, skills, experience, and qualifications) Bonus opportunity 10% of annual salary, (actual amount depends on your performance and Aviva's) Generous pension scheme e.g. if you put in 8%, Aviva adds 14% 25 days/29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days Aviva funded Private Medical Benefit to help you get expert support when you need it Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme Brilliantly supportive policies including parental and carer's leave Flexible benefits to suit you, including sustainability options such as cycle to work Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others We take your wellbeing seriously with lots of support and tools Aviva is for everyone: We're inclusive and welcome everyone - we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don't, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares. We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working - spending around 50% of their time in our offices every week - combining the benefits of flexibility, with time together with colleagues.
