Pricing / Modeling Actuary
This individual will combine core actuarial skills with technology to create and automate insightful analysis. Directs a team of data analysts that provide support in the development and utilization of data management, machine learning and predictive analytic tools. Implements analytical approaches and methodologies and assists in the interpretation of results. Identifies and pursues new opportunities to utilize analytics across the business primarily focusing on pricing analysis along with supporting claims initiatives. Overall responsibilities include coordinating with senior management to utilize complex actuarial concepts to support key decisions and initiatives.
Collaborate with executives and department leaders to identify and meet information needs. Development and deployment of machine learning/predictive modeling analytic tools. Analyze and validate findings, create management information tools, presentations, and visualizations based on aggregate data to find risks or opportunities, as well as, make performance change recommendations. Provide support to product pricing process including completion of transmittal documents and development of proprietary rate support where needed. Manage and mentor a team of analysts, assigning schedules, and projects. Coordinate relationship with key analytics partners, including machine learning suite. Development and advancement of team expertise and incremental technology partners to ensure skill set and capability leverages future technologies. Coordinate with external opining actuary and auditing firms for interim and annual actuarial information. Manage and prepare information for statutory financial statement filings including annual statement Schedule P.
Bachelor’s or Master’s in Actuarial Science, mathematics, finance, computer science or other quantitative related field is preferred. Candidate should have, or is working towards, ACAS or FCAS designation. Minimum five (5) years actuarial modeling experience in the Commercial P&C industry, Experience with Relevant data sources and analytical methodologies. Minimum two (2) years prior supervisory experience. Experience working with Machine Learning Analytical Tools. Experience working with cross-functional teams.
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