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Liberty Mutual

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Liberty Mutual is hiring an

Insurance Risk Actuary

Job Category: Actuarial

Minimum Salary: $117,000.00

Maximum Salary: $225,000.00

Schedule: Full-Time

Pay Philosophy:

The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications, and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role.

Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.

Description:

The Global Risk Solutions (GRS) Capital & ERM group is seeking a highly motivated individual to join its Insurance Risk Modeling team within the Capital Modeling & Analytics group. The larger GRS Capital Modeling & Analytics team is responsible for designing, developing, and implementing dynamic financial analysis solutions for the Global Risk Solutions organization.

This individual will join a group of modelers responsible for parameterizing and modeling Insurance Risk for the GRS Capital Model, legal entity capital models, and other risk models. This work includes coordinating with data owners, parameterizing model inputs, developing risk dependencies, model validation, and supporting model uses.

The successful candidate will have some commercial lines actuarial experience, strong analytical abilities, and enjoy developing statistical models and processes, working with large data sets, and diving deep into drivers of line of business dynamics. We encourage commercial lines pricing and reserving actuaries without capital modeling experience to apply for this role.

Global Risk Solutions is a leading provider of commercial, specialty insurance, and reinsurance products, delivering a wide array of innovative products, deep technical expertise, strong client engagement, and market-leading performance worldwide.

Responsibilities:

  • Collaborate with other team members to achieve the following goals:
  • Regularly update capital model parameters and assumptions for multiple models.
  • Run the capital model and validate capital model outputs.
  • Develop new solutions and improvements for statistical models and processes used to calculate these inputs.
  • Implement timely and practical solutions to complex problems.
  • Collaborate with model stakeholders across GRS to better understand the business and reflect that understanding in model parameters.
  • Collaborate with modeling and risk management teams across the company to improve our understanding and modeling of risk.
  • Communicate processes and results to stakeholders outside the team.

Qualifications:

  • Bachelor's degree required; Masterโ€™s degree preferred.
  • Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) or in Society of Actuaries (ASA/FSA) designation preferred or comparable education/designation with relevant experience.
  • Minimum 5-7 years relevant experience required.
  • Strong analytical skills with solid understanding of core casualty actuarial methods, techniques, and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc.
  • Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization.
  • Ability to motivate and mentor peers and train subordinates.
  • Expert computing skills (MS Office Excel, SAS, etc.) with ability to build complex models.

Preferred Qualifications:

  • Experience working with Visual Basic for Applications (VBA) and Capital modeling software, R, and Python.
  • Experience with stochastic financial modeling and forecasting.

Fair Chance Notices:

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
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