Review rate adequacy and provide recommendations when deviations and revisions from standard assumptions are appropriate.
Enhance and refine existing pricing models and develop new pricing models to support the Company’s strategic objectives.
Monitor legislative and regulatory activity and ensure compliance in mandated reporting.
Develop and maintain analytical standards and procedures, including peer reviews, to ensure consistency across department of analysis, execution, knowledge sharing and documentation.
Actively engage with and participate in industry professional organizations and rating committees, representing the Company’s strategic interests while presenting as an expert thought leader within the professional community.

EDUCATION: Bachelor's degree in Statistics, Mathematics, Risk Management, or other related quantitative field, required.
CERTIFICATIONS/LICENSES: Fellow or Associate of the Casualty Actual Society strongly preferred. Predictive Modeling accreditation desirable.
EXPERIENCE:
Minimum of seven (7) years of FCAS or ACAS experience building predictive statistical models with pricing emphasis required.
Experience with statistical computer languages and fluency with "big data" tools (R, Python, SAS, SQL, etc.) to manipulate data and draw insights from large data sets is preferred.
REQUIRED TECHNICAL SKILLS:
In-depth knowledge of insurance industry, programming, and current technologies used in predictive modeling and statistical analysis.
Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (generalized linear models, non-linear models, machine learning, etc.).
Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.

Director of Pricing

Key skills