With over 35 years of proven expertise in the workers' compensation industry, Key Risk delivers innovative and responsive solutions that provide our clients the freedom to do what they do best. Offering guaranteed cost options to employers nationwide, Key Risk focuses on delivering products and services within specialized verticals to reduce workers' compensation exposures and deliver industry-leading results.

All products and services are distributed through appointed insurance agents and brokers. Key Risk is a member company of W. R. Berkley Corporation, whose insurance company subsidiaries are rated A+ (Superior), Financial Size Category XV by A.M. Best Company and A+ (Strong), by S&P.

For further information about Key Risk please visit www.KeyRisk.com

The company is an equal opportunity employer.

Assist Actuarial team by performing premium and loss reserving calculations, research, and other actuarial analyses.  Provide data/analytic expertise to support actuarial services including financial reporting, trend analysis, utilization studies, rate development and claims liability estimates.

• Contribute in the design, construction, and implementation of tools and processes for assessing rate adequacy;
• Assist in the assessment of rate level adequacy for the Workers Compensation line of business;
• Develop data sets for analytics and reporting.  Participate in predictive modeling efforts and recommend enhancements for analysis and company processes;
• Support the Company’s rating plans, rates, factors, and pricing tools, including providing actuarial support for state filings;
• Contribute to production and improvement of reports for Corporate and internal customers;

• Assist with loss/loss adjustment expense reserve analysis on a quarterly basis;
• Perform other duties and/or projects as assigned;
• Actively pursue Actuarial ACAS credential from the CAS
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• Bachelor's degree from four-year college or university with concentration in statistics, computer science, data analytics, actuarial science, mathematics, economics, finance, business, or related field

• Exposure to and a working knowledge of tools and programming languages such as Python, SQL and Power BI, an understanding of working in SQL and NoSQL database systems that are commonly used in BI Analytics, Data Management and Data Science;  
• Background in Actuarial Science studies and/or successful completion of one exam;
• Comfort working with and organizing large data sets; 
• Familiarity with version control using Git; 
• Ability to organize, prioritize and manage multiple tasks in a fast-paced environment;
• Excellent verbal and written communication enabling effective communication to all levels of the organization;
• Understands the importance of timely and professional responsiveness;
• Curiosity and desire to learn and grow professionally and increase individual knowledge of workers compensation insurance;
• Committed to the highest standards of ethical behavior, honesty, and integrity.