Chubb

Actuarial Data Analyst

Chubb · Bangkok, Thailand

Insurance · 1,001-5,000 employees

3 h ago
Mid (2-5 yrs) Full-time Thailand
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About the role

The Actuarial Data Analyst will support underwriting, pricing, and claims analytics by developing insights and reporting tools. They will also collaborate with business stakeholders to identify data requirements and optimize data pipelines for scalability.

What they look for

SQL Data Analysis Python Java Data Visualization Actuarial Science Underwriting Claims Analytics Pricing Data Modeling Reporting KPI Analysis Data Quality Database Management Data Engineering Communication

Requirements

Candidates should have a bachelor's degree in Actuarial Science or a related field and 3-5 years of experience in actuarial or analytical roles. Proficiency in SQL, data visualization, and experience with insurance-related data are highly preferred.

Full description

Role Summary

The Actuarial Data Analyst will support underwriting, pricing, and claims analytics activities by analyzing data, developing insights, and partnering with business stakeholders to support reporting and decision-making.

Responsibilities

  • Document data sources in the enterprise data catalog with metadata, lineage, and classification information.
  • Develop aggregations and algorithms needed for reporting and analytics with low to moderate complexity.
  • Implement minor changes to existing data visualization applications and reporting dashboards.
  • Document modifications made to reporting applications.
  • Partner with business teams to analyze requirements and identify data sources needed for analytics and reporting applications.
  • Conduct full data lifecycle analysis to develop new insights for analytics and reporting dashboards.
  • Provide recommendations to address data quality issues with source systems.
  • Communicate approaches and findings with cross-functional teams.
  • Build analytical tools to provide actionable insights into key business KPIs.
  • Work with data engineers to optimize pipelines for scalability and data delivery when needed.