Accelerant
Exposure Data Manager
Remote (United States)
Sponsorship not specifiedDetected 22 days ago
PythonGitSQLSnowflakeMachine LearningAirflowdbtData EngineeringStatisticsLoad TestingCommunicationProblem SolvingActuarial ScienceUnderwriting
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.
Requirements
- 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
- Familiarity with exposure modeling or catastrophe modeling workflows
- Experience with cloud data warehouses like Snowflake
- Experience working with insurance carrier data pipelines
- Experience in data cleansing, validation, and QA
Nice to have
- 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
Company info
- Accelerant (NYSE: ARX) is a is a data-driven risk exchange transforming specialty insurance through data, advanced analytics, and AI driven insights.
- Our marketplace and proprietary technology platform empowers small-to-medium businesses to thrive by connecting specialty risk underwriters (typically MGAs, captive managers, retail brokers) with risk capital providers (Insurers, Reinsurers, Institutional Investors), creating more efficient and transparent ecosystem for specialty insurance with smarter products, data and AI.
- Started in late 2018, over $4B of annual premium was transacted on the Accelerant Risk Exchange in the last 12 months ended Q3 2025.
- For more information, please visit www.accelerant.ai.
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