Exposure Data Manager

Accelerant

5d

About The Position

As the Exposure Data Analytics Lead, you will lead analytics and investigations that help the business understand exposure patterns, accumulation risk, data completeness, and quality. You will define and enforce data standards, quality controls, and best practices for exposure data across business lines. You will collaborate with engineers, data platform, and analytics teams to enable downstream use (modeling, reporting, dashboards, catastrophe analytics).

Requirements

• 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
• Experience in insurance / reinsurance / specialty lines
• Familiarity with exposure modeling or catastrophe modeling workflows
• Experience with cloud data warehouses like Snowflake
• Experience working with ADP data tools or equivalent
• Experience in data cleansing, validation, and QA
• Analytical mindset with strong problem-solving skills
• Excellent communication skills with both technical and non-technical stakeholders
• Self-starter with strong ownership and initiative

Nice To Haves

• 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

Responsibilities

• Lead the oversight into ingestion, transformation, and normalization of exposure data from internal and external sources
• 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
• Develop and maintain exposure data documentation, data dictionaries, and process guidelines
• Enable 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 ad hoc analysis to diagnose exposure trends and concentration risk
• Provide guidance on integrating exposure data into downstream tools (e.g. modeling engines, pricing systems, BI)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level