JOB SUMMARY

The TMNAS Actuarial Pricing Section works with internal and external customers to handle pricing needs for sister companies with market share over $4B countrywide. The pricing services include data development, a reporting platform for self-service pricing reports, exposure management, predictive analytics, rate maintenance, large account pricing, and product development.
The Actuarial Analyst needs to be able to work with internal and external customers to provide the information supporting business decisions. The position requires ability to learn data definitions and structures related to insurance operations and the ability to support a self-service reporting platform for clients. Knowledge of predictive analytics is also a plus as the company is establishing its predictive analytics services.

KNOWLEDGE/SKILLS/ABILITIES (KSA’S)

Knowledge

• Understanding of quantitative tools, techniques, and statistical methods
• Basic knowledge of approaches, tools, and techniques for recognizing, anticipating, and resolving actuarial operational or process problems

Skills

• Ability to understand alternative solutions that resolve problems in the best interest of the business
• Demonstrated initiative to seek out work
• Strong drive to accomplish goals
• Superior written and verbal communication skills
• Technology skills including data organization

Abilities

• Superior analytical and reasoning skills with the capability to determine the root cause of actuarial-related problems
• Strong attention to detail; ability to process actuarial-related information with high levels of accuracy
• Ability to work effectively as part of a team
• Ability to translate the business needs into usable reports for the client

QUALIFICATIONS

• Bachelor’s degree with a concentration in actuarial science, math, finance, economics, computer science, or information science & technology
• Demonstrated ability to pass actuarial exams
• 0 to 2 years of property and casualty actuarial experience preferred
• Proficient in Microsoft Office with strong knowledge of Microsoft Excel
• Working knowledge of SQL strongly preferred
• Exposure to Philadelphia Insurance Companies and/or TMNAS systems and processes preferred
• Experience with other programming languages and/or modeling tools (e.g. R, Python, Akur8) is a plus

• Gather and organize internal and external data into structures that can be used to support the reporting needs of the client sister companies
• Work within a collaborative team environment
• Design, develop, enhance, produce and interpret key property and casualty insurance reports for both internal and external distribution
• Provide support for Predictive Model development including work with external vendors, development of predictive models, implementation of models, and maintenance of existing models
• Provide support for various underwriting tools used by the client sister companies
• Use or create SQL sourced data extracts from source data systems
• Comply with proper internal controls as necessary to conduct job functions and/or carry out responsibilities and/or administrative activities
• Successful completion of actuarial examinations within the guidelines set in the TMNAS Actuarial Student Program
• Perform special projects and other duties as may be assigned