[Hiring] Lead Analyst @Liberty Mutual

Role Description

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 analysis, maintaining portfolio analytics tools, and delivering insights that inform underwriting, portfolio steering, and risk appetite decisions. This position partners closely with underwriting, exposure management, and data teams to enhance risk visibility, improve data quality, and support timely decision-making.

Key Responsibilities

• Catastrophe Modeling & Exposure Analysis:
  • Perform catastrophe modeling and exposure analysis across property and specialty portfolios using vendor and internal modeling platforms.
  • Analyze event losses, return period metrics, and scenario-based outputs (e.g., RDS, stress scenarios).
  • Calculate and validate aggregate and occurrence exposures across portfolios and events.
  • Support event response and portfolio roll-ups, including loss estimation and impact assessments.
• Portfolio Analytics & Risk Monitoring:
  • Produce portfolio-level analytics including risk limit utilization, accumulation reporting, and peril/region breakdowns.
  • Monitor risk against established limits and support identification of concentration risks.
  • Provide analysis on portfolio changes and material movements between reporting periods.
  • Contribute to reporting deliverables for internal stakeholders and leadership.
• Data Management & Tool Development:
  • Maintain and enhance catastrophe analytics tools and workflows (e.g., SQL-based processes, portfolio tools).
  • Support ingestion, transformation, and validation of exposure and loss data across systems.
  • Investigate and reconcile discrepancies across datasets, models, and reporting outputs.
  • Drive automation and efficiency improvements in data processes and reporting.
• Underwriting & Stakeholder Support:
  • Partner with underwriters to support risk selection, pricing, and portfolio management decisions.
  • Provide exposure insights and modeling outputs to support underwriting submissions and reviews.
  • Collaborate with global teams to align methodologies and ensure consistency across regions.
  • Support ad hoc analysis requests for underwriting, portfolio management, and leadership.
• Process Improvement & Innovation:
  • Identify opportunities to improve modeling workflows, data quality, and operational efficiency.
  • Contribute to development of new tools and approaches for portfolio analytics (e.g., automation, data integration).
  • Support adoption of new technologies and processes aligned to broader Exposure Management and GEM initiatives.

Qualifications

• Required:
  • Bachelor’s degree in Mathematics, Engineering, Statistics, Finance, or related quantitative field.
  • 2–5+ years of experience in catastrophe modeling, exposure management, or related analytics role.
  • Working knowledge of catastrophe modeling platforms (e.g., AIR/Verisk Touchstone or equivalent).
  • Strong data analysis skills with experience in SQL, Excel, and/or similar tools.
  • Analytical mindset with ability to interpret complex datasets and modeling outputs.
• Preferred:
  • Experience with portfolio analytics tools and scripting (e.g., SQL-based pipelines, Python).
  • Familiarity with insurance/reinsurance portfolios, including property and specialty lines.
  • Exposure to risk limit frameworks, RDS analysis, and portfolio steering concepts.
  • Experience working with large datasets (e.g., SOVs, loss files, exposure databases).

Key Competencies

• Quantitative and analytical problem-solving.
• Attention to detail and data accuracy.
• Ability to translate technical outputs into business insights.
• Strong collaboration with underwriting and cross-functional teams.
• Ownership and execution in a fast-paced environment.

Impact & Scope

• Supports portfolio-level risk visibility and decision-making.
• Contributes directly to underwriting discipline and risk selection.
• Drives improvements in data quality, analytics, and process efficiency.
• Enhances the organization’s ability to respond to catastrophe events and manage accumulations.

Requirements

• College degree in Computer Science, Mathematics, or Finance/General Business or Engineering or equivalent education and/or experience.
• 5-7 years of catastrophic modeling and management reporting experience.
• 2-3 years of experience and demonstrated mastery of CAT management software employed by CAT unit.
• Superb data mining skills.
• Excellent verbal and written communication skills.
• Expert level Excel, Access, PowerPoint and SQL knowledge.
• Insurance and/or reinsurance background preferred.

Travel

• 10%