Hybrid Actuarial, Business Analyst

at Verisk

• Job title: Actuarial, Business Analyst
• Job type: Full Time
• Experience level: Junior
• Salary: $67,500 - $80,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Cloud, Cognos, ETL, Python, SQL, Tableau, VBA
• Location requirements: Hybrid, Jersey City, United States

About the role

• 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.

Benefits

• Health Insurance
• Retirement Plan
• Disability benefits
• Paid Time Off