Actuary (US Auto Analytics & State Indications)

Job Category: Actuarial

Typical Starting Salary: $140,000-$170,000

Minimum Salary: $117,000.00

Maximum Salary: $225,000.00

Schedule: Full-Time

Flexible Time Off Annual Accrual: 20 days

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 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:

Join the Personal Lines Auto Risk Analytics team as a Grade 18 Actuary! In this role, you will be part of a collaborative team that provides valuable insights and guidance for managing our Personal Lines Auto portfolio. Our team's mission is to provide state indications for tailored profit guidance through timely and robust analyses.

**This role may have in-office requirements depending on candidate location.**

As an Actuary, you will:

• Lead work on state indications that serve as a foundation for rate guidance, ensuring that our rate actions and underwriting levers improve each state’s profit position.
• Play a pivotal role in shaping state indication strategy, leveraging a robust suite of actuarial methods.
• Help identify and propose enhancements to our existing processes and methodologies to drive for operational excellence.
• Be an influential partner with other Risk Analytics subject matter experts to ensure a comprehensive understanding of unique state features, and collaborate with Directors of State Operations to develop customized state levers.
• Share your insights and recommendations which will greatly influence state-level decision-making and contribute to our goal of achieving top-quartile profitability.
• Build trust, credibility, and strong relationships to influence decisions and execution beyond the Auto Analytics team.
• Be a senior member of the team and contribute to fostering an inclusive, equitable, and high-performing culture.
• Coach and mentor junior team members, sharing your expertise and supporting their development.

Responsibilities:

• Deliver state level indications to internal stakeholders to drive actions and influence decisions to achieve top quartile profitability.
• Build indications tools and processes to increase our organizational understanding of our methodology and inform state level profitability position.
• Proactively identify opportunities, drive analysis, and make recommendations for appropriate strategies to develop, evaluate and enhance state level profitability.
• Act as a trusted partner to State Management to help inform and influence state-specific strategy and tactics, including pricing and underwriting levers.
• Collaborate with Country Wide (CW) Indications, CW State Analytics, Actuarial, Finance, Claims and Data Science to gain better understanding and assess and improve profitability with a state focus.
• Support cross-team initiatives to enrich the deliverables with state-specific insights.
• Build trust and credibility with teams beyond State Analytics to drive decisions and execution.
• Support an inclusive, equitable and high performing culture.
• Coach and mentor junior team members.

Qualifications:

• Bachelor's degree required; Master’s degree preferred.
• Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience.
• Minimum 5-7 years relevant experience required.
• Sound knowledge of actuarial 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.
• Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models.

Fair Chance Notices:

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