About this role
Description
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The Lead Analyst, Catastrophe Management supports property exposure management, catastrophe modeling, and portfolio analytics across Global reinsurance portfolios. The role is responsible for performing detailed risk
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analysis, maintaining portfolio analytics tools, and delivering insights that inform underwriting, portfolio steering, and risk appetite decisions.
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This position partners closely with underwriting, exposure management, and data teams to enhance risk visibility, improve data quality, and support timely decision-making.
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Key Responsibilities
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Catastrophe Modeling & Exposure Analysis:
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Perform catastrophe modeling and exposure analysis across property and specialty portfolios using vendor and internal modeling platforms
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Analyze event losses, return period metrics, and scenario-based outputs (e.g., RDS, stress scenarios)
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Calculate and validate aggregate and occurrence exposures across portfolios and events
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Support event response and portfolio roll-ups, including loss estimation and impact assessments
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Portfolio Analytics & Risk Monitoring:
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Produce portfolio-level analytics including risk limit utilization, accumulation reporting, and peril/region breakdowns
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Monitor risk against established limits and support identification of concentration risks
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Provide analysis on portfolio changes and material movements between reporting periods
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Contribute to reporting deliverables for internal stakeholders and leadership
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Data Management & Tool Development:
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Maintain and enhance catastrophe analytics tools and workflows (e.g., SQL-based processes, portfolio tools)
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Support ingestion, transformation, and validation of exposure and loss data across systems
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Investigate and reconcile discrepancies across datasets, models, and reporting outputs
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Drive automation and efficiency improvements in data processes and reporting
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Underwriting & Stakeholder Support:
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Partner with underwriters to support risk selection, pricing, and portfolio management decisions
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Provide exposure insights and modeling outputs to support underwriting submissions and reviews
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Collaborate with global teams to align methodologies and ensure consistency across regions
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Support ad hoc analysis requests for underwriting, portfolio management, and leadership
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Process Improvement & Innovation:
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Identify opportunities to improve modeling workflows, data quality, and operational efficiency
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Contribute to development of new tools and approaches for portfolio analytics (e.g., automation, data integration)
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Support adoption of new technologies and processes aligned to broader Exposure Management and GEM initiatives
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Qualifications
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Required:
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Bachelor’s degree in Mathematics, Engineering, Statistics, Finance, or related quantitative field
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2–5+ years of experience in catastrophe modeling, exposure management, or related analytics role
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Working knowledge of catastrophe modeling platforms (e.g., AIR/Verisk Touchstone or equivalent)
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Strong data analysis skills with experience in SQL, Excel, and/or similar tools
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Analytical mindset with ability to interpret complex datasets and modeling outputs
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Preferred:
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Experience with portfolio analytics tools and scripting (e.g., SQL-based pipelines, Python)
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Familiarity with insurance/reinsurance portfolios, including property and specialty lines
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Exposure to risk limit frameworks, RDS analysis, and portfolio steering concepts
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Experience working with large datasets (e.g., SOVs, loss files, exposure databases)
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Key Competencies:
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Quantitative and analytical problem-solving
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Attention to detail and data accuracy
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Ability to translate technical outputs into business insights
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Strong collaboration with underwriting and cross-functional teams
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Ownership and execution in a fast-paced environment
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Impact & Scope:
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Supports portfolio-level risk visibility and decision-making
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Contributes directly to underwriting discipline and risk selection
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Drives improvements in data quality, analytics, and process efficiency
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Enhances the organization’s ability to respond to catastrophe events and manage accumulations
Qualifications
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College degree in Computer Science, Mathematics, or Finance/General Business or Engineering or equivalent education and/or experience
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5-7 years of catastrophic modeling and management reporting experience
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2-3 years of experience and demonstrated mastery of CAT management software employed by CAT unit
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Superb data mining skills
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Excellent verbal and written communication skills
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Expert level Excel, Access, PowerPoint and SQL knowledge
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Insurance and/or reinsurance background preferred
Travel
10%