Chief actuary director of actuarial models

Description The Director of Actuarial Models will be responsible for creating, staffing and leading a new team within the NYSIF Actuarial Department. Responsibilities May Include But Will Not Be Limited To: Development of solutions to strategic business challenges through advanced modeling, including machine learning and other AI-type of models. Coordinate, consolidate and oversee the review and enhancements of existing actuarial models, both statistical and AI in nature. Providing leadership in the management and development of a team, setting priorities, goals and development plans to meet business goals and objectives. Leading the day-to-day work of the Modeling team, ensuring that projects achieve appropriate end points, and that status and results are communicated to business partners in a clear, concise manner. Ensuring analytical models are properly implemented with the highest level of buy-in from internal customers. Expanding analytical tools, methods and increasing the use of new data sources, data science and AI techniques consistent with NYSIF and New York State AI policies. Implementing best practices and repeatable processes that ensure consistent, quality delivery of modeling work from the team. Participate in the internal review of AI-type of models and their compliance with both New York State and NYSIF AI policies. Perform all work in conformance with Actuarial Standards of Practice. Minimum Qualifications Education/Experience: Associate or Fellow of Casualty Actuarial Society (ACAS, FCAS) Bachelor’s degree in actuarial science, mathematics, statistics or a related field Minimum of ten (10) years of actuarial experience; two (2) of which must be subsequent to obtaining the Associate or Fellowship designation and include responsibility for managing and/or directing all activities of an actuarial team Technical/Functional Skills: Advanced understanding of current technical and statistical methods, tools, and techniques Model-building, predictive analytics and AI experience Knowledge and understanding of current and emerging statistical and AI methods, trends and technologies Experience managing, manipulating and extracting key insights from raw data, both structured and unstructured Familiarity with external data providers and sources Ability to guide business partners through complex situations through interpretation of model results Excellent communication, strategic and critical thinking skills Self-starter with a commitment to adhere to and implement best practices Team player with ability to build partnerships with staff and senior leadership Preferred Qualifications Strong managerial skills, team building, and organizational skills; Advanced degree in mathematical, statistical or AI-related fields; Membership in the American Academy of Actuaries (MAAA).

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