Uses best practices and traditional statistical/modeling techniques to develop and maintain rating, economic and other models as necessary and in consideration of the business goals of the model
Provide tools, educate and support state teams in the implementation of models and other decision-making support
Follows appropriate analyses to be conducted for projects to make recommendations to achieve corporate goals
With minimal direction plans, implements, manages, and/or contributes on projects that are up to moderate complexity and are small-to moderate scale using accepted project management standards
Forecasts short-term and long-term deliverables with assistance
Tracks own plan performance and project timeline and communicates and presents project status
Ensures project controls are in place throughout the lifecycle of the project within own tasks
Supports the development/ design of new plans, programs, processes, products up to moderate complexity
Assists in the development of communication strategies and materials to support new plans, programs, processes, products; solicits input from stakeholders
Participates in the evaluation of procedures and processes regularly and makes observations or suggests improvements
Contributes to market share growth and profitability by recommending changes to products, pricing, risk management
Understands standard market specific implications of business strategies
Assures proper execution of regulatory/legislative practices for Product Management
Understands and follows internal and external compliance requirements/standards
Trains/coaches team members or peers and actively shares expertise with peers

Requirements

Bachelor’s degree – preferably in related field of study such as finance, math/applied math, statistics/applied statistics, economics
Proven insurance business knowledge – for example, understands economics of insurance, familiarity with personal lines ratemaking and rating plans, etc.
Several years of experience working in personal or commercial lines of insurance
Aptitude and strong interest in statistical modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc. - some modeling experience is helpful but not required
Standard knowledge in the use of data sources and applications to conduct research
Strong technical aptitude, such as programming experience with Python, R, SAS, or SQL required.
Working knowledge of insurance regulation and related business constraints
Has an understanding of current industry and professional standards/ environment to impact decisions and indicate requirements
Can analyze data and review analysis from others and identify and resolve basic data issues
Intermediate computer proficiency in Microsoft Office
Possesses working knowledge of policies and procedures in management or other technical fields
Strong written and verbal communication skills including the ability to effectively collaborate with multi-disciplinary groups and all organizational levels
High level organizational and project management skills in order to handle multiple concurrent assignments in a timely manner and to monitor processes throughout a team or department
Strong decision-making skills
Works effectively in a team environment

Benefits

Support for those seeking the Certified Specialist in Predictive Analytics (CSPA) credential

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical modeling techniqueslinear regressionlogistic regressionGLMGAMGBMPythonRSASSQL

Soft Skills

strong written communication skillsstrong verbal communication skillscollaborationorganizational skillsproject management skillsdecision-making skillsteamworkanalytical skillscoachingeducating