Exposure Data Manager

Accelerant

Exposure Data Manager lead analytics and investigations for insurance risk data at Accelerant. Responsible for ensuring data quality and collaborating with cross-functional teams for exposure data management.

Posted 5/27/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowCloudPythonSQL

About the role

Key responsibilities & impact

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
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)

Requirements

What you’ll need

3–4+ years of experience with exposure / insurance loss / policy data or related domain
Bachelor’s degree in a quantitative discipline (mathematics, statistics, engineering, computer science, actuarial science)
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
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
Familiarity with MGA and delegated authority exposure data (preferred)
Python or R experience for data manipulation and validation (preferred)
Version control and orchestration tools (Git, dbt, Airflow) (preferred)
Data governance or metadata management experience (preferred)

Benefits

Comp & perks

Professional development
Flexible work arrangements

ATS Keywords

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Hard Skills & Tools

SQLdata transformationdata cleansingdata validationexposure modelingcatastrophe modelingPythonRdata governancemetadata management

Soft Skills

analytical mindsetproblem-solvingcommunicationownershipinitiative