ARX) is a is a data-driven risk exchange transforming specialty insurance through data, advanced analytics, and AI driven insights.
About the role
This is not a software engineering, machine learning engineering, or data infrastructure role. We are looking for candidates with insurance domain expertise who use analytics to inform underwriting and exposure decisions. Candidates with no prior insurance experience will not be considered.
What they're looking for
- - Must have experience in commercial insurance underwriting, actuarial, catastrophe modeling, or exposure management
- - 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 related domain
- - Strong proficiency in SQL, complex query and data transformation skills
- - Familiarity with exposure modeling or catastrophe modeling workflows
- - Experience with cloud data warehouses like Snowflake
More about this role
This is not a software engineering, machine learning engineering, or data infrastructure role. We are looking for candidates with insurance domain expertise who use analytics to inform underwriting and exposure decisions. Candidates with no prior insurance experience will not be considered.
- Lead analytics and investigations that help the business understand exposure patterns and accumulation risk
- Define and enforce data standards, quality controls, and best practices for exposure data across business lines
- Own data quality and completeness - you not only collect feedback, but intuit what needs to be fixed from your industry experience, and collaborate with other departments on permanent solutions to reliably produce best in class exposure data
Key Responsibilities
- Lead the business oversight into ingestion, transformation, and normalization of exposure data from internal and external sources, using underwriting, Actuarial or adjacent knowledge
- Validate and QA exposure data: identify anomalies, gaps, duplicates, inconsistencies, and drive improvements
- Partner with actuarial, underwriting, catastrophe modeling, and product teams to understand their exposure needs
-...
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