Data Quality Analyst

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.

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