Actuarial/Business Analyst in the insurance industry focusing on data analysis and reporting. Collaborating with teams to ensure quality of regulatory data and supporting contractual obligations.
Responsibilities
Perform analysis of large data sets to assure the quality of all products and filings.
Collaborate with other divisions regarding regulatory data needs.
Support the team in fulfilling contractual obligations at the federal and state levels.
Preparation of annual Statistical Agent filings and other compilations required by insurance regulators.
Detailed data reviews, both on transactional and aggregate levels.
Writing and running programs to extract data for review and report compilation.
Develop more efficient, automated ways to improve processing including data quality and error detection processes.
Interaction with ISO’s insurer customers and other organizations regarding data review prior to submission to regulators and state insurance departments.
Become a subject matter expert on one or more lines of property-casualty insurance business.
Requirements
Bachelor's degree in a STEM major or with STEM coursework learned in associated majors (Actuarial Science, Computer Science, Data Engineering, Data Science, Mathematics, Applied Mathematics, Statistics, Finance, Economics).
1-3 years of Property-Casualty insurance work experience preferred.
Passing of at least one actuarial exam is preferred.
Commitment to attainment of an insurance professional designation (ACAS, CPCU, AIDM), or of a technology or project management designations.
Data management skills or knowledge of insurance data management principles is a plus.
Experience in quantitative and qualitative data analysis.
Some familiarity with insurance coverages, actuarial methodologies and quality control.
Technical background should include a working knowledge of MS Office applications and understanding of computer programming / software development concepts.
Knowledge of SQL, VBA, SAS, R, Python, ETL tools or Business Rules Engines is a plus, as is fluency in cloud databases and workflow scripts (e.g. Jupyter Notebooks).
Background experience in Tableau, Power BI, ThoughtSpot, Spotfire, COGNOS, or other data visualization software would be advantageous.
Strong written and oral communication skills.
Ability to work independently and as part of a team.
Ability to work under time constraints, multi-task, and adjust plans in the face of changing priorities.
Continued desire and ability to learn.
Ability to perform essential duties with or without reasonable accommodation.
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