The actuarial analyst is responsible for collection, organization, interpretation, analysis, scrubbing, documentation and dissemination of complex data sets. The candidate will be responsible for modeling complex problems, reconciling data sets, analyzing trends and summarizing data for review and analysis. The candidate will provide analysis, will process and compile data for reporting and analysis through creating queries, views and reports. The candidate will provide support and be part of the US Actuarial team.

• Conduct advanced data analysis and highly complex algorithms
• Interpret data, analyze results and provide ongoing reports
• Develop and implement data collection systems and other strategies that optimize efficiency and data quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in a complex data sets
• Filter and scrub data, and review reports and indicators to locate and correct code problems
• Locate and define new process improvement opportunities

• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, SQL, etc.)
• Knowledge of and experience with reporting packages (i.e. Cognos, Business Objects, etc.) and databases (e.g. SQL Server)
• Adept at queries, report writing and presenting findings

Bachelor’s degree with concentration in a quantitative discipline such as Actuarial, Statistics, Computer Science, Mathematics, Economics or Operations Research - with 5 or more years of experience.