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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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": 618505107131, "name": "Actuary", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Weatogue, Connecticut, United States"], "hot": 0, "department": "Actuarial", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1751910240, "t_create": 1750708800, "ats_job_id": "70923", "display_job_id": "2025-70923", "type": "ATS", "id_locale": "2025-70923-en", "job_description": "Perform complex actuarial analyses to assist business decision making and strategy development, including the semi-annual profit reviews. 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Lead in-depth analytical studies to compare recent performance against business objectives, offering actionable recommendations for product and process improvements. Leverage strong technical skills to identify data attributes needed to complete work and the ability to compile them from US Retail Market (USRM) data sources, often without being able to rely on existing datasets. As needed, develop and validate innovative metrics to explain results in clear and actionable ways. Develop techniques to identify business deterioration and/or adverse selection and provide recommendations to improve results when performance falls below expectations. Develop a deep and robust understanding of the Auto Product, Coverages, and Processes to provide expertise and guidance to the organization as needs arise. Become a subject matter expert, assisting junior analysts and peers across the organization with complex analytical tasks and fostering an environment of collaboration. 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Creates loss development projections by state. Leverages internal and external information to inform both historical and projected frequency, severity, and premium trend projections. Gathers feedback on the state environment from State Management and other partners. Evaluates and controls for non-rate initiatives and state mix shift. Clearly explains relationship between the indication and actual loss experience, changes in the indication over time, helps gain buy-in for its accuracy so that it can be used to drive decisions in market. Create a culture of innovation to build and enhance models, analysis, and tools, as well as create efficiencies in our processes. Model inclusiveness by living our Values, fostering an inclusive culture, and proactively seeking out all forms of diversity. Develop talent by building and elevating capabilities within the team, including development and talent evaluation and forming resilient teams that can attract talent with wide backgrounds that contribute to diversity of thought. Bachelor's degree required; Masters degree preferred. Fellowship in the Casualty Actuarial Society (FCAS) or near-FCAS designation preferred. 5-10 years progressively responsible experience, including supervisory experience. Ability to foster teamwork and relationships across organizational line. Knowledge of underwriting concepts including company/agency relationships' importance to the business success. Written and verbal communication skills, including the ability to effectively express technical actuarial and statistical concepts to non-technical individuals internal and external to the organization. Advanced decision making, problem solving and analytical skills. 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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container 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background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} .fa-brands{-webkit-font-smoothing: antialiased; font-style: normal; font-variant: normal; line-height: 1; text-rendering: auto;font-family: 'Font Awesome 6 Brands'} .position-details li{list-style-type: disc;} .header-wrapper{display:none!important;}.disability p {text-align:center!important;background-color:#F0F0F0!important; height:45px!important;padding-top:12px!important;} .disability a {color:blue!important;text-decoration:underline!important;} @media only screen and (max-width: 1325px){.disability p {height:67px!important;}} @media only screen and (max-width: 675px){.disability p {height:92px!important;}} @media only screen and (max-width: 480px){.disability p {height:114px!important;}}h4{margin-top: 5px;font-weight: 600;}