We’re committed to putting people first – if you need an accommodation as you go through the job searching, application, and interviewing process, please click here for more information.
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Proactively identify training opportunities; create & deliver content accordingly. Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) or in Society of Actuaries (ASA/FSA) designation preferred or comparable education/designation with relevant experience. Minimum 5-7 years relevant experience required. Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization. Ability to motivate and mentor peers and motivate and train subordinates. Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models. 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Our data engineers write code that turns trillions of bits of information into structured data--data that our hundred-plus Data Scientists analyze with cutting-edge modeling techniques to unlock insights. From there, our tools and deployment teams ensure this data can be practically applied to business problems across US Retail Markets. Join us and be a part of this dynamic group driving industry-leading data segmentation, fueling the team's success now and into the future. This role may have in-office requirements depending on candidate location The Territory Modeling team in Complex Components is looking to hire a Data Scientist to help drive our mission of building best-in-class geographic risk segmentation models! Specifically, you'll conduct analyses & support modeling efforts on our internal & external geographic data using both traditional actuarial and cutting-edge data science techniques. Actuarial experience conducting analysis on insurance data, such as premium on-leveling, loss trending, loss development, etc. is highly preferred. Using SQL for wrangling structured data & curating analysis-ready data. Using Python for analyzing data, creating data visualizations, & conducting statistical analysis/modeling. Creating, testing, and deploying Generalized Linear Models (GLMs) used for predictive purposes, such as insurance pricing. Some experience/skills working with geographic data & GIS/spatial data science methods is great but not required. Achieved or currently pursuing Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Advance knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. 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Work across functions to lead complex and creative actuarial pricing analyses for E&S. Solid understanding of Property coverages, usage of CAT models, and actuarial assumptions. Python or R programming required. Perform actuarial analyses and makes recommendations concerning valuation/reserving, pricing, research/support, business planning, finance or other business areas. Thought partner to Specialty leadership; fosters partnerships across the North America organization to improve profitability & support growth goals. Manages or participates in studies designed to improve risk selection and pricing including but not limited to rate indications, trend analysis, CAT pricing & predictive models. Provides consultation to senior leaders and other groups on issues such as TVAR utilization, market cycle pricing, rates, and related matters, the development and use of pricing models/tools, business planning, contingency plans, or other financial studies. Identifies data requirements for analysis, tool development, reporting and decision making, ensures the organization uses it effectively. Partner with IT and Data Science Solutions to implement pricing models and understand dislocation impacts. Fellowship in the Casualty Actuarial Society (FCAS) designation required. Proficiency in one programming language, including SAS, SQL, R or Python. Applied actuarial skills and business acumen with 7 or more years of progressively responsible actuarial experience, including coding proficiency. Solid understanding of Commercial Property and coverages, usage of CAT models, and actuarial assumptions. Strong organizational skills and ability to adapt well to the changing needs of the organization. Exceptional ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing, to all levels of management. Bachelor`s degree required Insurance designations desirable Fellowship in the Casualty Actuarial Society (FCAS) or Fellowship in the Society of Actuaries (FSA) designation preferred, or comparable actuarial education/designation combined with relevant experience Typically 0-2 years post-fellowship Minimum of 7 years of progressively more responsible experience (typically 10 or more) in an actuarial role, some of which may include experience as an actuarial candidate taking exams Requires detailed knowledge of the operations and processes associated with the operational group Strong analytical skills with solid understanding of all casualty actuarial techniques, standards, and assumptions This position requires an experienced and knowledgeable actuarial viewpoint in a wide variety of actuarial subjects, and in company, industry, and regulatory practices Knowledge should include data, methodologies, systems and platforms Advanced to expert knowledge of specialized software, actuarial and statistical methods, tools, and the existence of programming languages Ability to learn as needed Able to undertake new processes/analysis based on cutting edge research and technologies, within and outside the insurance industry Focus efforts on staying competitive in the market Ability to grasp theoretical concepts Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing Ability to make decisions with incomplete information Ability to establish and build effective relationships within and outside the organization Ability to give effective training and presentations to senior management and other groups", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505229654", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505370259, "name": "Actuary", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "San Diego, California, United States", "Chicago, Illinois, United States", "Weatogue, Connecticut, United States"], "hot": 0, "department": "Actuarial", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1753134360, "t_create": 1751556120, "ats_job_id": "71085", "display_job_id": "2025-71085", "type": "ATS", "id_locale": "2025-71085-en", "job_description": "Responsibilities span over several product lines, including Builders Risk, Contractors Equipment and other specialty Marine products. Act as trusted advisor and direct partner to Property segment leaders & teams. Build deep expertise and insight into Marine portfolios and data. Ownership of pricing models filed rating algorithms, data and processes. Oversee annual indication & profit review process for influencing pricing levels. Provide insights necessary to support the effective use of rating models & areas of opportunity. Review, revamp and/or create rate change methods & processes for individual segments. Directly support pricing requirements for new products and coverages, including rate filings. Collaborate cross-functionally to achieve business objectives and meet field demands. Support product ratemaking, underwriting and operations with data driven analytics. Translates the vision and strategic priorities of Majors P&M into impactful projects that enable underwriters to effectively select and price risks. 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Support of pricing models, filed rating algorithms, data, and processes. Assist in overseeing the annual indication & profit review process for influencing pricing levels. Provide insights necessary to support the effective use of rating models & areas of opportunity. Review, revamp and/or create rate change methods & processes for individual segments. Directly support pricing requirements for new products and coverages, including rate filings. Collaborate cross-functionally to achieve business objectives and meet field demands. Support product ratemaking, underwriting and analytics operations with data driven analytics. Identifies data requirements for analysis, tool development, reporting and decision making. Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience. Minimum 5-7 years relevant experience required. 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Deliver ongoing monitoring and profitability insights. Provide inputs to help develop the Mobility financial plan. Support new opportunity development for potential partners in collaboration with peer teams. Automate, standardize, and improve indication-related tools, share best practices. Consistently deliver high levels of performance while operating in an environment of ambiguity. Demonstrate intellectual curiosity to identify trends, potential issues, and their underlying causes. Evaluate tactical underwriting and pricing strategies. Effectively communicate sophisticated financial/actuarial data to varied audiences; appropriately tailor communications based on the audience. Deliver ridehail profitability reviews. Communicate product performance and identify optimization opportunities. Communicate regular updates to internal and external stakeholders. Bachelor's degree required; Master's degree preferred. 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Be the go-to expert for state-specific auto product strategy, delivering actionable recommendations that improve pricing, training, and overall product offerings. Lead and drive your own projects, managing work streams that have meaningful business impact. Collaborate closely with state teams, DSOs, IT partners, and product managers to align strategies and implement nationwide initiatives. Stay ahead of the competition by researching market dynamics, competitor filings, and customer needs to inform innovative product changes. Share your expertise by mentoring junior analysts, developing training materials, and leading sessions that empower your colleagues. Conducts moderate to high complexity analysis under general direction. As subject matter expert for assigned states, completes state reviews and similar work for basic states independently and for complex states or countrywide programs under general direction. 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