Responsibilities:

• 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 – insurance risk modelling and internal models
• 5-10 years of experience working in insurance
• Knowledge of statistical modeling techniques such as linear regression, logistic regression, GLM, GAM, GBM, etc.
• 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
• 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

Please note that all applications to Switzerland-based vacancies and all communication with Swiss clients are handled by our Swiss Partners, Accurate GmbH, Bahnhofstrasse 11, 8302 Kloten. Albert Cliff is responsible for screening, initial interview, and selection only.