Associate in Model Risk Management role within Financial Services Group analyzing financial risks. Support senior members with model validation, risk assessments, and deliver reports.
About the role
- Data Governance/Data Quality Analyst role focused on utilizing IDMC for data management in the insurance sector. Emphasizing data quality, compliance, and collaboration with stakeholders.
Responsibilities
- Data Cataloging: Utilize IDMC to effectively catalog data assets, ensuring robust metadata management and enhancing data discoverability across the organization.
- Data Classification: Support with necessary data classification (manual or automated) around sensitive, critical, confidential data.
- Master Data Management: Develop, validate, and maintain detailed mappings and schemas in Excel to manage master data critical for analysis and reporting.
- Data Quality Assurance: Regularly audit and refine data quality, collaborating with IT, Data Owners, Data Stewards, and other stakeholders to rectify discrepancies and maintain high data integrity.
- Policy Implementation and Compliance: Adhere to and enforce strict data management practices that comply with industry regulations such as GDPR, HIPAA, or specific insurance regulatory standards.
- Stakeholder Collaboration: Liaise between data users, technical teams, and business leaders to align data accessibility with the strategic needs of the actuarial department.
- Educational Workshops and Support: Conduct training sessions and provide ongoing support for Alation and Excel-related data governance practices.
- Project Leadership: Manage and execute data governance projects, ensuring alignment with broader business objectives and timely completion.
Requirements
- Bachelor’s degree in Information Management, Computer Science, Actuarial Science, or a related field.
- 4+ years of experience in data governance or a similar role within the insurance industry.
- Expertise in using IDMC for data glossary, data lineage, data cataloging and advanced proficiency in Excel.
- Familiarity with insurance data standards and the regulatory environment is a plus.
- Excellent analytical, organizational, and project management skills.
- Effective communication and interpersonal abilities, with experience working in consultancy and client-facing roles.
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