Senior Actuarial Analyst part of the Strategic Actuarial Operations team at Verisk. Responsibilities include quantitative analyses for insurance clients and regulatory interactions.
Responsibilities
Prepare products for regulators and internal & external customers in a timely and accurate manner. Products may include experience review analyses, state loss cost filings and other actuarial circulars, other customized data analyses and business intelligence tools and dashboards and thought leadership articles to meet customer needs.
Coding logic and program troubleshooting to extract data for analysis and report compilations.
Review the quality of premium, exposure, loss and claim data submitted by insurance companies both on a semi-aggregate level for use in actuarial methodologies and analyses
Develop more efficient, automated ways to improve business processes and customer experience.
Help respond to questions from regulators and insurers on loss cost filings and other analytic products.
Collaborate with other core lines business units and subject matter experts (actuarial, data and technology) to improve data quality, product development, actuarial procedures and U/X to help our customers overcome challenges.
Be our expert for data storytelling, who can identify the insights that are important to our customers and colleagues, and find creative ways to communicate that information
Requirements
Bachelor’s degree with concentration in a quantitative discipline such as Statistics, Mathematics, Actuarial Science, Economics, Engineering, or Physical Sciences
1-5 years of P&C insurance industry experience, especially insurance data management, actuarial practices, and familiarity with the ISO/Verisk core business
Strong analytical, problem solving, decision-making skills and technical aptitude
Self-motivated, customer oriented, possessing leadership qualities, able to work independently and as part of a team
Excellent verbal and written communication skills
Working knowledge of SQL, R, Python, or other general-purpose programming languages and familiarity with other BI tools (PowerBI, Tableau, ThoughtSpot)
Proficiency in Microsoft Office (Excel, Word, PowerPoint)
Ability to work on several projects concurrently, and under time constraints with the ability to adapt in the face of changing priorities
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