Senior Actuarial Analyst in Boston , MA for Plymouth Rock Assurance Corporation (2024)

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Our Boston Actuarial team is seeking a self-motivated and creative individual with a strong desire to work with Product Management and Claims to bring statistical rigor and analysis into everyday processes. The ideal candidate will have a strong business sense and a proven track record of generating new ideas across an organization and implementing those into current operations.

Under minimal direction, the Actuarial Analyst II – Quantitative works with the Actuarial Manager and team in identifying business issues, developing various approaches to address these issues, performing analyses and making recommendations based on the results. He/she/they will perform statistical analysis related to insurance including loss estimation, rate setting and reserving as well as other actuarial projects including competitor analysis and reinsurance.

Requirements:

• Understands quantitative concepts.
• Prepares actuarial research and complex reports and studies, and then presents findings and exhibits to peers and others.
• Provides clear and concise communication of technical work to technical and non-technical audiences.
• Creates and maintains documentation of methods and activities.
• Provides technical assistance and information to other departments.
• Creates and maintains internal and external data.
• Actively pursues FCAS designation.
• Participates in industry, regulatory, and actuarial meetings as necessary.
• Completes required training.

Qualifications and Education:

• Prior experience/knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc.
• Ability to work independently to lead mid-complexity projects and communicate to diverse audiences including technical and non-technical, senior management and fellow analysts.
• Ability to balance high volume of tasks from multiple projects with direction.
• Familiarity with database tools.
• Extensive programming experience (Python, SQL).
• Ability to build models of moderate complexity.
• Advanced Microsoft Office skills.
• Excellent verbal and written communication skills.
• Proven math and analytical skills, as typically acquired through the attainment of a bachelors or higher level degree in Mathematics, Statistics, Economics, Actuarial Science, or related field.
• Commitment to achieving membership in the Casualty Actuarial Society. Passing grades on at least 4 actuarial exams preferred.
• Demonstrated problem solving experience gained through related coursework and work experience.
• 2 or more years work experience with actuarial tools and concepts, preferably within the auto/homeowners insurance industries.
• ResQ experience would be beneficial, but not required.