Complex and Emerging Risks Claims (CERC) manages legacy asbestos and environmental claims exposures, as well as emerging risks with significant potential exposure to Liberty Mutual Insurance Company. CERC responsibilities include coverage determination, management of outside defense counsel, claims settlement and reinsurance recovery on behalf of the Company’s Commercial Insurance and Personal Insurance Strategic Business Units. A division of Corporate Finance, CERC employs approximately 150 attorneys, claims managers and specialists, reinsurance specialists, finance professionals, actuaries and support personnel.
As the Statistical Modeling Director within CERC’s Actuarial & Analytics group, you will focus on advanced research of the underlying dynamics of asbestos claims-related litigation. In this newly created role, you will apply your advanced statistical training and experience to sophisticated predictive modeling and analysis projects aimed at leveraging the drivers of asbestos litigation costs and related settlement outcomes, in order to continually improve the efficiency and effectiveness of our claims management. To begin, you will apply your analytical skills to a new production dataset of asbestos defense and indemnity costs by claimant.
Execute all aspects of predictive analytic initiatives to address complex insurance claims processes. Determine and execute proper implementation strategy. Present methodology and intermediate, as well as final, results to a broad range of audiences within the Company.
Research, recommend, and implement new and/or alternative statistical and other mathematical methodologies for litigation and settlement analysis.
As needed, perform data preparation steps, including extraction of target data from multiple databases, integration of multiple datasets, creation of derived variables, applying business rules, and quality control checks.
Contribute to project planning and management.
Work with CERC management to gather business requirements and develop specifications for data requests and reports, and to coordinate priorities.
Collaborate with Enterprise Legal Services, Commercial Insurance Claims and other Company research teams to advance our mutual analytic objectives.
Perform ad hoc analyses as needed.
Master’s or PhD in Economics, Statistics, or similar discipline required.
Significant academic and/or professional experience applying advanced statistical analysis to solving real-world problems required.
Adept at framing business questions and practices in analytic terms and translating business requirements into corresponding datasets, analyses and reports required.
Strong communication skills to clearly articulate analytical concepts, model methodologies and results to various technical and non-technical audiences, including executive management.
Demonstrated proficiency in using statistical and analytic software tools such as SAS, R, Excel, Access, Cognos, etc.
Experience with very large analysis datasets and enterprise-wide database systems.
Ability to perform high-level work both independently and collaboratively as a project team member or leader.
Finance & Accounting
Salary (Pay Basis)
Bachelor's Degree (±16 years)
Yes, 10 % of the Time
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