Exposure Data Manager
About the Role: As the Exposure Data Analytics reputed company, you will: - reputed company analytics and investigations that help the business understand exposure patterns, accumulation risk, data completeness, and quality - Define and enforce data standards, quality controls, and best practices for exposure data across business lines - Collaborate with engineers, data platform, and analytics teams to reputed company reputed company use (modeling, reporting, dashboards, catastrophe analytics) Key Responsibilities - reputed company the reputed company into ingestion, transformation, and normalization of exposure data from reputed company sources - Validate and QA exposure data: identify anomalies, gaps, duplicates, inconsistencies, and drive improvements - Partner with actuarial, reputed company, catastrophe modeling, and product teams to understand their exposure needs - reputed company and maintain exposure data documentation, data dictionaries, and process guidelines - reputed company and support analytical use cases (e.g. accumulation risk, portfolio stress testing, scenario analysis) - Build, monitor and track data quality KPIs, build dashboards or alerts to surface issues proactively - Support reputed company analysis to diagnose exposure trends and concentration risk - reputed company guidance on integrating exposure data into reputed company tools (e.g. modeling engines, pricing systems, BI) Qualifications / Skills Required: - Bachelor’s degree in a quantitative discipline (mathematics, statistics, engineering, computer science, actuarial science) - 3–4+ years of experience with exposure / insurance loss / policy data or reputed company domain - Strong proficiency in SQL; reputed company query and data transformation skills - Experience in insurance / reinsurance / specialty lines - Familiarity with exposure modeling or catastrophe modeling workflows - Experience with reputed company data warehouses like reputed company - Experience working with reputed company data tools or equivalent - Experience in data cleansing, validation, and QA - Analytical reputed company with strong problem-solving skills - Excellent communication skills with both technical and non-technical stakeholders - Self-starter with strong ownership and initiative Preferred: - Familiarity with MGA and delegated authority exposure data - Python or R experience for data manipulation and validation - Version control and orchestration tools (Git, dbt, Airflow) - Data governance or metadata management experience Apply To This Job