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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Strong analytical skills with solid understanding of casualty insurance techniques, standards, and assumptions. Expert skills in statistical software packages (e.g., Emblem, Python packages) highly desired. Strong knowledge of insurance principles, underwriting and ratemaking concepts High-level knowledge of data sources, tools, and the business (lines, systems, pricing plans), predictive modeling (GLMs, GBMs, Elastic Nets), and code (e.g. Python, R, SQL) preferred. Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504130303", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618502699046, "name": "Consultant, Product Research", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Product Management", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1746809580, "t_create": 1740666900, "ats_job_id": "68976", "display_job_id": "2025-68976", "type": "ATS", "id_locale": "2025-68976-en", "job_description": "Fully own and execute on assigned states' end-to-end rollout of the latest personal auto insurance pricing programs. Gather and document product requirements, clearly communicate requirements to stakeholders, and ensure accurate implementation. Act as the subject matter expert for the pricing program and assigned states, provide thoughtful recommendations that influence state decisions and help drive corporate strategy. Lead cross-functional workstreams and manage moderate to high complexity projects. Conduct complex analyses to drive and support business decisions; where necessary, conduct in depth research of competitor offerings and filings. Educate IT partners on business vision and plan, and both IT and business partners on the impact of changes. Independently manage project timelines, flag risks and develop contingency plans, escalate blockers as appropriate. Regularly update leadership and stakeholders on project progress, addressing concerns and managing communication channels. Lead job shadow discussions with less experienced analysts. Provides technical training and user support to business groups. Bachelor's degree in mathematics, economics, statistics, or other quantitative field Minimum 4 year's relevant work experience, typically 6 years. Master's degree beneficial. Advanced proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). Must have strong planning, organizational, analytical, decision making and communication skills. Experience managing projects preferred.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502699046", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618502755455, "name": "Principal SAS Data Engineer", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1743429120, "t_create": 1741101960, "ats_job_id": "69063", "display_job_id": "2025-69063", "type": "ATS", "id_locale": "2025-69063-en", "job_description": "Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. Description We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance. This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Indianapolis, IN and Columbus, OH. Job introduction: The EDATA (Enterprise Data & Analytics Technology) organization is actively searching for a highly productive Principal SAS Data Engineer of a distributed, dynamic agile team to serve as a technical expert in analysis, design, coding and testing of our SAS analytic solutions. Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development and execution of complex data solutions, in order to manage the information lifecycle needs of an organization. Collects, integrates and analyzes organizational data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platforms, databases, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, best practices, procedures, governance and quality assurance for data analytics deliverables. Recommends methods to improve data reliability, quality, and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members. About the job: Enhance and strengthen the support model and triaging capabilities in collaboration with our offshore support partners. Act as a thought leader by establishing standards, guardrails, and best practices for SAS analytics tooling, and drive governance and compliance. Leverage observability, data, and platform costs to identify and recommend opportunities for improvement, addressing complex technology gaps within business processes. Collaborate with the Data Office and stakeholders to analyze workloads and recommend strategies for improving efficiency, while actively driving the implementation of those recommendations. Document existing processes, organizational structures, architectures, and external systems for clarity and knowledge sharing. Contribute to the development and enhancement of solutions, ensuring alignment with business needs. Support engineers during implementation, including cutover plans, post-implementation support, issue resolution, transition planning, and knowledge sharing. Communicate effectively and gather feedback from stakeholders to ensure alignment and support. Proactively identify potential impacts on business strategy, driving vision and cross-functional collaboration to achieve strategic objectives. Qualifications Bachelor or Master`s degree in technical or business discipline or equivalent experience, technical degree preferred. Minimum 8+ years of Data Engineering experience. In-depth knowledge of IT concepts, strategies, and methodologies. Possess extensive experience in building, designing, troubleshooting, and coding SAS processes/workloads, with deep user-level knowledge of SAS. Familiarity with diverse and emerging technologies, as well as new architectural concepts and principles. Knowledgeable in data engineering languages and tools; proficient in new and emerging technologies. Proficient in data engineering languages and tools, including Python, SAS, R, SQL, and DB warehouse technologies; knowledgeable in new and emerging technologies. Understanding of code management practices and monitoring tools, along with GitHub. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Strong understanding of layered solutions and designs; comprehensive understanding of shared data engineering concepts, product features, and security considerations. Highly developed negotiation, consensus building & influencing skills, facilitation, and the adaptability to respond to change quickly. Exceptional oral and written communication skills; strong presentation capabilities. Proven ability to effectively collaborate with all levels of the organization. About Us As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. Fair Chance Notices California Los Angeles Incorporated Los Angeles Unincorporated Philadelphia San Francisco", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502755455", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618503198623, "name": "Property Pricing Actuary", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Actuarial", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1743096240, "t_create": 1742653140, "ats_job_id": "69385", "display_job_id": "2025-69385", "type": "ATS", "id_locale": "2025-69385-en", "job_description": "Supporting the integration of MMIA business into processes, pricing and existing portfolio analyses will be a focus and critical goal. Build deep expertise and insight into Single Carrier portfolios and data. 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. Sound knowledge of actuarial techniques and standards. 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. Knowledge of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal, and Sales departments. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing. Strong technical skills and tool building capabilities (R experience is preferred).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503198623", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618504394505, "name": "Senior Digital Analyst, Advanced Analytics", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Seattle, Washington, United States", "Columbus, Ohio, United States", "Remote, Remote, United States"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1746750900, "t_create": 1746630720, "ats_job_id": "70132", "display_job_id": "2025-70132", "type": "ATS", "id_locale": "2025-70132-en", "job_description": "Utilize a variety of web analytics tools and data sources to lead multivariate analysis and A/B testing focused on enhancing the digital sales funnel experience and economics in a variety of focus areas (e.g. customer segmentation, product bundling, cross-sell, multichannel, lead monetization, tech modernization, webchat etc.) Lead work streams both independently and cross-functionally, partnering with diverse stakeholders and Agile Product teams to make actionable recommendations for future enhancements Drive the development, prioritization, and execution of strategic digital and direct channel roadmaps using both qualitative and quantitative insights Analyze variances in key online performance metrics versus financial plan to diagnose drivers of gaps and build value-based business cases for new opportunities for implementation Collaborate across Direct Distribution, thinking critically and holistically to drive a cohesive strategy across the entire direct ecosystem (digital and call center platforms) Experience querying, curating, and manipulating large datasets from multiple platforms and sources to deliver insights to critical and complex business questions Ability to effectively balance various tasks simultaneously, communicate proactively with stakeholders, and adapt to shifting or competing priorities in a fast-paced working environment Strong PowerPoint and presentation skills with experience preparing and delivering presentations for a wide range of audiences, including influencing senior leadership on key priorities and business decisions Web analytics experience is a plus (e.g. Adobe Analytics, Google Analytics); a strong interest in Digital is necessary Bachelor's Degree plus a minimum 3 years, typically 4 or more years of experience, or equivalent, is required. Mathematics, Economics, Statistics or other quantitative field are preferred fields of study. Advanced knowledge of data sources, tools, statistical principles and methodologies, and techniques. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, SQL, Snowflake, Python, R). Must have good planning, analytical, decision-making and communication skills. Solid understanding of business to improve business outcomes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504394505", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618504006828, "name": "Insurance Risk Actuary", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Actuarial", "business_unit": "0620-GRS-Office of the CFO-US", "t_update": 1745593140, "t_create": 1745592960, "ats_job_id": "69955", "display_job_id": "2025-69955", "type": "ATS", "id_locale": "2025-69955-en", "job_description": "Pay Philosophy The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. Description The Global Risk Solutions (GRS) Capital & ERM group is seeking a highly motivated individual to join its Insurance Risk Modeling team within the Capital Modeling & Analytics group. The larger GRS Capital Modeling & Analytics team is responsible for designing, developing, and implementing dynamic financial analysis solutions for the Global Risk Solutions organization. This individual will join a group of modelers responsible for parameterizing and modeling Insurance Risk for the GRS Capital Model, legal entity capital models, and other risk models. This work includes coordinating with data owners, parameterizing model inputs, developing risk dependencies, model validation, and supporting model uses. The successful candidate will have some commercial lines actuarial experience, strong analytical abilities, enjoy developing statistical models and processes, working with large data sets, and diving deep into drivers of line of business dynamics. We encourage commercial lines pricing and reserving actuaries without capital modeling experience to apply for this role. Global Risk Solutions is a leading provider of commercial, specialty insurance, and reinsurance products, delivering a wide array of innovative products, deep technical expertise, strong client engagement and market-leading performance worldwide. The product lines include workers' compensation, commercial multi-peril, surety bonds, crisis management, marine, terrorism, management liability, cyber liability, and energy. Responsibilities: Collaborate with other team members to achieve the following with the goals: Regularly update capital model parameters and assumptions for multiple models Run the capital model and validate capital model outputs Develop new solutions and improvements for statistical models and processes used to calculate these inputs Implement timely and practical solutions to complex problems Collaborate with model stakeholders across GRS with the goal of better understanding the business and reflect that understanding in model parameters Collaborate with modeling and risk management teams across the company to improve our understanding and modeling of risk Communicate processes and results to stakeholders outside the team Qualifications 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. Strong analytical skills with solid understanding of core casualty actuarial methods, 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. Expert computing skills (MS Office Excel, SAS, etc.) with ability to build complex models. Preferred Qualifications: Experience working with Visual Basic for Applications (VBA) and Capital modeling software, R, and Python Experience with stochastic financial modeling and forecasting About Us As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 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The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. Description The creative problem solvers in Liberty Mutual's Insights & Solutions group harness the power of data, analytics and technology to create innovative solutions that advance our business, make an impact on our industry and promote individual careers. Insights & Solutions' cross-functional team interacts with every area of our enterprise, challenging the status quo and helping people embrace today and confidently pursue tomorrow. The US Retail Markets Data Science team brings together a diverse range of talent to predict future risk and what our customers will need to recover. 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. Distribution and Marketing Data Science (DMDS) develops predictive analytics tools and provides data-driven insights that inform strategic decision making, with solutions ranging from optimizing marketing tactics to quote personalization. By leveraging AI, machine learning and other advanced analytics techniques, DMDS increases efficiency and drives profitability across Liberty Mutual. Join the creative problem solvers of our Insights & Solutions group who are harnessing the power of data, analytics and technology to innovate today and transform tomorrow. Level of position offered will be based on skills and experience at manager discretion. This role may have in-office requirements based on candidate location. The US Retail Markets Data Science team is looking for an experienced and self-motivated Data Scientist to join our Direct Distribution Data Science team. As a Director I, you will play a pivotal role in the design, development, and implementation of Machine Learning driven solutions to support the Direct distribution channel. This is a highly technical position where you will work as part of cross-functional teams across distribution, marketing, customer experience, and technology. You will have the opportunity to experience the entire data science lifecycle as you will collaborate with ML Engineers to deliver projects to production. A successful candidate will: Have expertise with Python, version control (Git), and building a wide range of models, GBM, Uplift, NN. Have the ability to collaborate with non-technical stakeholders, engineers, and fellow data scientists to bring complex ideas to market. Have the desire to create and drive constant improvement. Qualifications Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience. About Us As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 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Manages complex, large-scale, and highly specialized projects that impact product development, pricing strategy, and underwriting within the Product Management department. Provides strategic and tactical direction for product segments countrywide. Evaluates business processes, recommends efficiencies and improvements and implements changes. Manages complex data gathering, reporting and analysis. Manages a team conducting all levels of product analysis under varying levels of supervision and direction. Provides Directors of State Operations support on the development of state strategies and through focusing analyst resources on value-added analysis. Provides summaries of industry and competitive information to State Management, Product leadership, Chief Product Officer and other Sr. leadership. Bachelor's degree in business, economics, or other quantitative field. Minimum 7 years, typically 10 year relevant work experiences. Master's degree beneficial. Proficient in Excel, PowerPoint, and data analysis software (e.g., SAS, Access). Must have good planning, organizational, analytical, decision-making and communication skills. Experience directly managing others required. Excellent analytic, quantitative and problem solving skills with proven ability to make and execute data driven decisions. Expert knowledge of product offerings, business processes, product line systems, underwriting rules, pricing plans and databases. Expert understanding of insurance concepts and financial metrics.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504118370", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503748376, "name": "Claims Specialist", "location": "Suwanee, Georgia, United States", "locations": ["Suwanee, Georgia, United States", "Remote, Remote, United States"], "hot": 0, "department": "Claims", "business_unit": "3026-GRS-North America-US", "t_update": 1745851380, "t_create": 1745078160, "ats_job_id": "69872", "display_job_id": "2025-69872", "type": "ATS", "id_locale": "2025-69872-en", "job_description": "Manages an inventory of claims to evaluate compensability/liability. Establishes action plan based on case facts, best practices, protocols, regulatory issues and available resources. Plans and conducts investigations of claims to confirm coverage and to determine liability, compensability and damages. Assesses policy coverage for submitted claims and notifies the insured of any issues; determines and establishes reserve requirements, adjusting reserves, as necessary, during the processing of the claim, refers claims to the subrogation group or Special Investigations Unit as appropriate. Assesses actual damages associated with claims and conducts negotiations, within assigned authority limits, to settle claims. Performs other duties as assigned. BS/BA degree or equivalent work experience. Minimum of 2 years experience in claims adjustment, general insurance or formal claims training. Required to obtain and maintain all applicable licenses. Continuing education courses leading to industry certifications preferred (e.g., AEI, IIA, CPCU). 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ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} #top .av-main-nav ul a{width:100%;height:auto;float:left;text-align:left;line-height:23px;padding:8px 15px;font-size:12px;min-height:23px;max-width:none;text-decoration:none;font-family:inherit;} #top .av-main-nav ul ul{left:-207px;top:0px;margin:0;border-top-style:solid;border-top-width:1px;padding-top:0px;} .av-main-nav li:hover ul ul{display:none;} #top .av-main-nav li:hover > ul{display:block;} .avia-menu-fx{position:absolute;bottom:-1px;height:2px;z-index:10;width:100%;left:0;opacity:0;visibility:hidden;} .av-main-nav li:hover .avia-menu-fx,.current-menu-item > a > .avia-menu-fx{opacity:1;visibility:visible;} .avia-menu-fx .avia-arrow-wrap{height:10px;width:10px;position:absolute;top:-10px;left:50%;margin-left:-5px;overflow:hidden;display:none;visibility:hidden;} 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only screen and (min-width: 768px) and (max-width: 989px){.responsive .main_menu ul:first-child > li > a{padding:0 10px;} .responsive .logo{float:left;} .responsive .logo img{margin:0;} .responsive .av_mobile_menu_tablet .main_menu .avia-menu{display:none;} } @media only screen and (max-width: 767px){.responsive #header_main .inner-container,.responsive .main_menu{position:static;} .responsive #top .logo{position:static;display:table;height:80px!important;float:none;padding:0;border:none;width:80%;} .responsive .logo a{display:table-cell;vertical-align:middle;} .responsive .logo img{height:auto!important;width:auto;max-width:100%;display:block;max-height:80px;} .responsive #header_main .container{height:auto!important;} .responsive .logo img{margin:0;} } #advanced_menu_toggle{position:absolute;border-radius:2px;height:46px;width:46px;line-height:46px;text-decoration:none;text-align:center;right:0;top:50%;margin-top:-23px;z-index:10000;border-style:solid;border-width:1px;font-size:30px;display:none;} @media only screen and (max-width: 989px){.responsive.html_mobile_menu_tablet .main_menu .avia-menu{display:none;} .responsive.html_mobile_menu_tablet .container #advanced_menu_toggle{display:block;} } @media only screen and (max-width: 767px){.main_menu .avia-menu{display:none;} .container #advanced_menu_toggle{display:none;} } } @media print{a,strong{color:black!important;} a{text-decoration:underline;} .container{width:100%;} .container{width:100%;margin:0 auto;} #header_main{border-bottom:0;} nav{display:none;} } @media all{::selection{background-color:#002663;color:#ffffff;} .header_color div,.header_color nav,.header_color span,.header_color a,.header_color img,.header_color strong,.header_color ul,.header_color li{border-color:#1a1346;} .header_color a,.header_color strong,.header_color strong a{color:#1a1346;} .header_color a:hover{color:#1a1346;} .header_color .avia-menu-fx,.header_color .avia-menu-fx .avia-arrow{background-color:#1a1346;color:#ffffff;border-color:#080124;} .header_color .avia-bullet{border-color:#1a1346;} .html_header_top .header_color .main_menu ul:first-child >li > ul{border-top-color:#1a1346;} .header_color .main_menu ul ul,.header_color .main_menu .menu ul li a{background-color:#fecf00;color:#1a1346;} .header_color .main_menu .menu ul li a:hover{background-color:#fecf00;} .header_color .main_menu ul:first-child > li > a{color:#1a1346;} #top .header_color .main_menu .menu ul li>a:hover{color:#1a1346;} .header_color .main_menu ul:first-child > li a:hover,.header_color .main_menu ul:first-child > li.current-menu-item > a,.header_color .main_menu ul:first-child > li.current_page_item > a{color:#1a1346;} #advanced_menu_toggle{background-color:#fecf00;color:#1a1346;border-color:#1a1346;} .avia_desktop #advanced_menu_toggle:hover{background-color:#1a1346;color:#ffffff;border-color:#1a1346;} .header_color .avia-arrow{background-color:#fecf00;} .header_color .avia-bullet{border-color:#1a1346;} #top .header_color a:hover .avia-bullet{border-color:#1a1346;} .container{width:100%;} .responsive .container{max-width:1260px;} #top #header .av-main-nav > li > a{font-size:14px;} } @media all{.WCAG-2-A{display:none!important;} @media (max-width: 767px){::-webkit-scrollbar{-webkit-appearance:none;} ::-webkit-scrollbar-thumb{background-color:rgba(0, 0, 0, .5);border-radius:10px;} ::-webkit-scrollbar-track{border-radius:10px;background-color:#ffffff;} } } @media all{*:focus{outline:1px dotted #808080!important;outline-offset:-2px!important;} .header_color .main_menu ul:first-child>li>a{color:#1a1446;font-family:'roboto-bold';font-size:16px!important;} .html_main_nav_header.html_logo_left #top 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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 a:focus{outline-offset:-5px!important;} @media screen and (min-width:768px) and (max-width:1024px){.header_color .main_menu ul:first-child>li>a{font-size:12px!important;} } #top .main_menu .av-main-nav ul ul{border:0!important;padding-top:0px;position:static;display:block!important;border-bottom:1px solid #000!important;overflow:hidden;background-color:transparent!important;} #top .main_menu .av-main-nav ul ul li a{padding-left:35px;font-size:12px!important;padding-top:5px;padding-bottom:5px;background-color:rgba(255, 255, 255, 0.7)!important;} #top .main_menu .av-main-nav ul ul li a:hover{background-color:rgba(232, 232, 232, 0.7)!important;} .av-main-nav ul li:last-child>a{border:none!important;} #top .main_menu .av-main-nav ul ul{border-bottom:0px solid #000!important;} } .navbar{display: none!important;} .logo{padding-right:60px!important;} #menu-item-973: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-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;}