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Exposure Data Manager

May 27, 2026

<meta><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><br></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><b><strong style="color:rgb(37,57,90);white-space:pre-wrap;">About the Role:</strong></b></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><br></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><span style="font-size:11pt;white-space:pre-wrap;">As the Exposure Data Analytics Lead, you will:</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Lead analytics and investigations that help the business understand exposure patterns, accumulation risk, data completeness, and quality</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Define and enforce data standards, quality controls, and best practices for exposure data across business lines</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Collaborate with engineers, data platform, and analytics teams to enable downstream use (modeling, reporting, dashboards, catastrophe analytics)</span><br><br><span style="font-size:11pt;color:rgb(37,57,90);white-space:pre-wrap;">Key Responsibilities</span></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><br><span style="font-size:11pt;white-space:pre-wrap;">- Lead the oversight into ingestion, transformation, and normalization of exposure data from internal and external sources</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Validate and QA exposure data: identify anomalies, gaps, duplicates, inconsistencies, and drive improvements</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Partner with actuarial, underwriting, catastrophe modeling, and product teams to understand their exposure needs</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Develop and maintain exposure data documentation, data dictionaries, and process guidelines</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Enable and support analytical use cases (e.g. accumulation risk, portfolio stress testing, scenario analysis)</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Build, monitor and track data quality KPIs, build dashboards or alerts to surface issues proactively</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Support ad hoc analysis to diagnose exposure trends and concentration risk</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Provide guidance on integrating exposure data into downstream tools (e.g. modeling engines, pricing systems, BI)</span><br><br><span style="font-size:11pt;white-space:pre-wrap;">Qualifications / Skills</span><br><span style="font-size:11pt;white-space:pre-wrap;">Required:</span></p><p style="font-family:" basel="" grotesk",arial,sans-serif;font-size:11pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px="" 0px;padding:0px;"=""><br><span style="font-size:11pt;white-space:pre-wrap;">- Bachelor’s degree in a quantitative discipline (mathematics, statistics, engineering, computer science, actuarial science)</span><br><span style="font-size:11pt;white-space:pre-wrap;">- 3–4+ years of experience with exposure / insurance loss / policy data or related domain</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Strong proficiency in SQL; complex query and data transformation skills</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Experience in insurance / reinsurance / specialty lines</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Familiarity with exposure modeling or catastrophe modeling workflows</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Experience with cloud data warehouses like Snowflake</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Experience working with ADP data tools or equivalent</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Experience in data cleansing, validation, and QA</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Analytical mindset with strong problem-solving skills</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Excellent communication skills with both technical and non-technical stakeholders</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Self-starter with strong ownership and initiative</span><br><br><span style="font-size:11pt;white-space:pre-wrap;">Preferred:</span><br><br><span style="font-size:11pt;white-space:pre-wrap;">- Familiarity with MGA and delegated authority exposure data</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Python or R experience for data manipulation and validation</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Version control and orchestration tools (Git, dbt, Airflow)</span><br><span style="font-size:11pt;white-space:pre-wrap;">- Data governance or metadata management experience</span></p>

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