Description This is an opportunity to join Ascot Group - one of the world’s preeminent specialty risk underwriting organizations. Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we’re bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourish in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way. The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric. Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service — both pre- and post-claims. Ascot exists to solve for our clients’ brightest tomorrow, through agility, collaboration, resilience, and discipline. Job Purpose: Ascot is seeking a highly motivated and detail-oriented Data Quality Analyst to join our team. This position is integral to ensuring the organization's data assets are managed, secured, and utilized to support business decision-making. You will play a key role in maintaining and driving quality standards, policies, and procedures related to data governance while collaborating with stakeholders across departments to enhance data quality and integrity. Ascot is seeking a passionate team player with a desire to improve data processes and enjoy bridging business and technology with a strong attention to detail. The role is based in Ascot’s office in the City of London and will be a hybrid home/office working model. Detailed Duties: Develop and implement a comprehensive data governance framework. Help create, implement, and maintain data governance policies and procedures to ensure Ascot is compliant with relevant regulatory requirements. Work with data owners and data stewards to establish and enforce data quality metrics, monitoring, and improvement processes. Identify and appoint data stewards, providing guidance and support. Develop and maintain a data catalog, taxonomy, and data lineage documentation. Advocate for data quality best practices and drive initiatives to enhance data-driven decision-making. Develop and deliver training and awareness programs to promote data governance & data quality principles across the organization. Experience: Must have Minimum of 3 years in data governance, data management, or a related field. Data Governance Expertise: Proven experience in developing and implementing data governance/quality policies and procedures in a regulated environment. Technology Skills: Familiarity with data management technologies and tools, such as data catalogues, data lineage, and data quality tools. Stakeholder Management: Proven history of working with both technical and non-technical stakeholders, bridging the gap between data teams and business units. Desirable Insurance Industry Experience: Deep understanding of the insurance and underwriting domain, especially in relation to the Lloyd's market. Degree in Information Systems, Computer Science, Business Administration, or a related field. Agile and Scrum: Experience working in Agile environments and familiarity with Scrum methodologies, especially in a data context. Regulatory Compliance: Knowledge of regulatory standards specific to the insurance industry and data management, e.g., Solvency II. Exposure to software tools such as Atacama and DQPro. Skills/Attributes: Analytical Thinking: Exceptional ability to analyse complex data environments, assess governance needs, and develop strategic solutions. Regulatory Acumen: Strong understanding of regulatory requirements and compliance standards in data management, especially in finance or healthcare sectors. Technical Expertise: Proficient in various data management technologies and tools, with the ability to guide their effective use for governance purposes. Leadership: Demonstrated ability to lead cross-functional teams, inspire collaboration, and drive governance initiatives. Communication Skills: Excellent communication abilities, capable of clearly conveying complex data governance concepts to both technical and non-technical stakeholders. Problem-Solving: Skilled in identifying challenges in data governance and devising practical, innovative solutions. Detail-Oriented: Meticulous attention to detail, ensuring the accuracy and integrity of data governance processes and documentation. Strategic Vision: Ability to develop long-term data governance strategies that align with organizational goals and adapt to evolving data landscapes. Change Management: Proficiency in managing change, advocating for new processes, and facilitating the adoption of data governance practices across the organization. Continuous Learning: Commitment to staying updated with the latest trends, tools, and best practices in data governance and management. LI-Hybrid