CO1001 Corporation of Lloyds

Lloyd's in London is seeking a Manager, Member Capital Systems to lead data, systems and processes for Funds at Lloyd's requirements. You'll manage syndicate capital data, govern data quality, and deliver reporting and analytics to support capital setting and decision-making. You'll collaborate with Finance, Actuarial, Planning and market stakeholders, driving improvements through automation and modern analytics while ensuring trusted information for internal and external users.

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 Manager, Member Capital Systems 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. The role You'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 doing Capital data and reporting Lead 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 innovation Manage 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 engagement Partner 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 collaboration Act 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 bring 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. Diversity & Inclusion 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 own the outcome by focusing on impact.

Lloyd's is the world's leading insurance and reinsurance marketplace. This role, Data Scientist - Portfolio Analytics, delivers analytics, tools and insights to support effective risk based oversight and continual improvement of market performance. Responsibilities Collaborate with the Senior Manager and Portfolio Analytics colleagues to develop methodologies, tools and controls that enable efficient market oversight. Lead analytical and data related projects to manage portfolio performance and drive forward looking assessments. Develop new methods to understand performance and measure/target a sustainable portfolio mix, balancing risk, reward and strategic direction. Quantify, model and analyse portfolio composition to identify opportunities and areas for oversight, further developing the Lloyd's Model Portfolio. Act as a subject matter expert for market data returns used by Underwriting to assess performance. Improve data quality, insight, alignment and rationalisation across Underwriting. Automate quarterly business processes such as risk based oversight, quarterly business review, PIP triage and underwriting risk appetite reporting. Contribute to cross functional collaboration with Finance, Predictive Analytics, Capital and Data. Qualifications Relevant experience in an analytical role within insurance or a regulatory environment. Strong stakeholder engagement and stakeholder management skills, including experience working with senior stakeholders. Project management capability and ability to drive change, build models, implement controls and encourage adoption. Proficiency in data manipulation and analysis using R or Python. Experience building visualisation tools such as Qlik Sense, Tableau or Power BI. Advanced knowledge of data management tools (Business Objects, SQL) and statistical/data science techniques. Excellent communication skills and ability to present technical information clearly to non technical audiences. High attention to detail and strong problem solving and decision making ability. Diversity and Inclusion Lloyd's is committed to building a diverse, inclusive environment that reflects global markets. We offer workplace adjustments, health and wellbeing programmes, diversity training, employee networks, mentoring, volunteering opportunities and support for professional development. Benefits and Working Arrangements Offers a hybrid working model, flexible benefits such as gym membership, dental insurance, extra holiday, cycle to work scheme, a generous pension, healthcare and wellbeing support, plus training and professional development allowances.

CO1001 Corporation of Lloyd's is looking for a Data Scientist specializing in Portfolio Analytics to provide analytics and insights for effective risk oversight. You will collaborate with colleagues to develop tools and methodologies that enhance market performance. The ideal candidate will possess a strong background in insurance analytics, stakeholder engagement, and proficiency in R or Python. The role offers a hybrid working model along with benefits such as gym memberships and healthcare support.