Actuarial Director

Company Details

Carolina Casualty is a member company of W. R. Berkley Corporation , an insurance holding company that is among the largest commercial lines insurance writers in the United States. We specialize in liability, physical damage, cargo and other insurance solutions for the commercial auto markets including trucking, public transportation and others.

The company is an equal opportunity employer.

Responsibilities

The position will assist the Actuarial department in providing a full range of responsibilities necessary for the company to achieve its overall goals. The ideal candidate is a self-starter with a desire to take ownership of responsibilities and strive to improve current processes and analyses. The position requires strong all-around technical skills including programming, model building and analytics. This person will be an experienced predictive modeling analyst who will organize and perform modeling and actuarial analysis using WR Berkley systems and procedures to support pricing, reserving, predictive modeling, and forecasting processes while aligning and contributing to company growth and profitability objectives.

A successful candidate will also operate as a team player with strong commutation skills. The position will have regular interactions with all other departments as well as with senior company and corporate management. This is a great opportunity for creative utilization of skills, growth and high visibility.

Key Functions _ _ will include but not be limited to:

• • Perform conceptual modeling design tasks by applying specialized knowledge of the Berkley organization’s customer needs and data gathering processes
  • Build actuarial and other predictive model using proprietary client data and analytics
  • Perform complex multivariate pricing analysis; build complex models using generalized linear modeling and related techniques; leverage theoretical understanding and apply practical adjustments to extreme value profitability distributions and use these models in predictive modeling applications
  • Prepare model data using pricing and general data warehouses and by combining data from internal systems with data from external sources
  • Cross-check data using actuarial reports, pricing and reserving data repositories; examine data and model results with respect to consistency with product features and business goals; evaluate, verify and validate model stability
  • Prepare data for predictive models and reports involving predictive model outputs; correlate data with other business reports and evaluate model performance in comparison with business expectations
  • Maintain close contact with internal and external customers and supervisor for oversight of data validity, data cleansing, and for obtaining business insight to help with building predicative models; actively seek out peer review input from supervisor, immediate team and others within WRBC and incorporate it into final work product
  • Ad-hoc analysis and support for special projects as needed

Qualifications

• Bachelor’s degree
• FCAS license needed
• Min of 5 years in P&C commercial lines insurance pricing and quantitative modeling
• Deep experience in commercial auto line of business, particularly trucking
• Experience building price elasticity models
• Proven analytical and problem-solving skills required; detail oriented
• Excellent communication and collaboration skills required
• Strong time management and organizational skills

Additional Company Details

We do not accept any unsolicited resumes from external recruiting agencies or firms. The company offers a competitive compensation plan and robust benefits package for full-time regular employees which for this role include: • Base Salary Range: $150,000 - $204,000 • Eligible to participate in annual discretionary bonus. • Benefits: Health, Dental, Vision, Life, Disability, Wellness, Paid Time Off, 401(k) and Profit-Sharing plans. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.