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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Serves as point person for moderate to high complexity projects, and as a team member on broader initiatives where they may lead their own work stream. Actively shares job knowledge with less experienced analysts and may mentor a new hire, depending on experience 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, Emblem). Must have good planning, analytical, decision-making and communication skills. Solid understanding of business to improve business outcomes. Familiarity with, or strong interest in, applying AI/GenAI tools and intelligent automation to analytical work. 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You'll go beyond producing extracts and reporting to conduct in-depth analysis, with claims data. This is a great role for someone who enjoys a mix of forensic problem solving, stakeholder partnership, and hands-on data analysis, and who takes pride in delivering insights that stand up to scrutiny. This position may have in-office requirements depending on candidate location. Conduct deep-dive analysis of complex claims data to identify trends, anomalies, and key insights that directly inform legal strategy, regulatory responses, and compliance assessments. Partner with Legal & Compliance stakeholders to clarify request intent, scope, timelines, and success criteria. Adapt communication style appropriately to share project results, opportunities, and successes with both technical and business (non-technical) leaders. Develop and deliver claims analytical solutions, including everything from foundational claim-level extracts to statistical summaries, predictive metrics, and interactive dashboards using tools like SQL/Snowflake, SAS Viya, Python, and other BI tools as needed. Prioritize efforts to meet delivery timelines, proactively communicating risks to stakeholders. Apply strong data QA practices (reconciliations, trend analysis, reasonableness checks, peer review) to ensure both the data and the resulting analysis are accurate and defensible. Proactively identify opportunities for analysis; partner with stakeholders to move beyond reactive data pulls to a more forward-looking, analytics-driven approach. Produce and maintain clear documentation (methodology, definitions, assumptions/limitations, data lineage) so deliverables are reproducible and audit-ready. Help improve team efficiency by creating reusable code modules, templates, and standardized \u201crequest packages\u201d for recurring stakeholder needs. Collaborate with data product and engineering partners to identify high-value recurring requests that should be supported by curated data assets. Demonstrates an understanding of new technologies as needed to progress initiatives, including leveraging approved AI tools to improve processes (within guardrails). Participate in the team's operating cadence (standups, intake/triage, prioritization) and proactively communicate status, risks, and blockers. Acts as a technical guide and mentor for lower level associates. Embrace Diversity, Equity and Inclusion culture creating long-lasting and trusting relationships with teammates. Deliverables are accurate, consistent, and well-documented, with fewer last-minute surprises or rework cycles. 3-5+ years of professional experience in data analytics, with a strong preference for experience in the property and casualty insurance industry. Strong working knowledge of SQL and experience working with large datasets (Snowflake or similar platforms preferred). Proven experience in claims analytics, with a strong understanding of claims data concepts (e.g., claim/exposure/transaction grain, paid/incurred/reserve, claim lifecycle) and familiarity with claims systems (e.g., Guidewire, Claims WorkBench). Experience building data deliverables end-to-end: requirements \u2192 analysis & insight generation \u2192 QA \u2192 stakeholder delivery. Strong communication skills; comfortable translating complex analytical findings into clear, concise narratives for non-technical audiences. Experience supporting Compliance, Regulatory, or Legal stakeholders, or producing audit-ready deliverables. Experience with Power BI or similar BI tools. Experience with Python or SAS for data analysis is a plus. Strong written and oral communication skills required Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred 5-7 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, SQL, SAS and experience working with large datasets (Snowflake or similar platforms preferred). 5-7 years experience as developer with top quadrant Business Intelligence tools", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517769126", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618518199847, "name": "Director, Data Engineering, Analytics & AI", "posting_name": "Director, Data Engineering, Analytics & AI", "location": "Plano, Texas, United States", "locations": ["Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Indianapolis, Indiana, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1784050320, "t_create": 1783343460, "ats_job_id": "76748", "display_job_id": "2026-76748", "type": "ATS", "id_locale": "2026-76748-en", "job_description": "Foster a culture of technical excellence, innovation, accountability, and continuous learning. Oversee talent strategy including hiring, coaching, performance management, and succession planning. Establish and scale global engineering teams, including vendor and offshore strategies aligned to capacity and cost objectives. Partner with Product, Underwriting, Data, Experience, and Architecture teams to deliver business value and seamless customer experiences. Collaborate with senior and executive leadership to align and define data engineering capabilities with USRM data & enterprise data strategy and modernization goals. Own delivery outcomes, including timelines, quality, system health, and business impact. Represent data teams in planning, budgeting, and resource allocation discussions. Serve as a thought leader in engineering and modernization, influencing architecture, platform investments, and emerging technologies (e.g., GenAI, cloud data platforms). Bachelor's or Master's Degree in technical or business discipline or related experience; Master's Degree preferred. Generally, more than 10 years related experience with 5 years in leadership role. In-depth knowledge of IT concepts, strategies and methodologies and their application to business opportunities. In-depth knowledge of business operations, objectives and strategies. In-depth knowledge of project planning methodologies and tools and IT standards and guidelines. Advanced knowledge of management concepts, practices and techniques. Ability to promote a team environment consisting of several teams. Highly developed negotiation, facilitation and consensus building skills. Highly developed oral and written communication skills; strong presentation skills. Ensure adoption of best practices across software development, DevOps, security, and quality engineering. Be accountable for delivery of AI capability milestones across data and analytics platform capability roadmap Partner closely with Enterprise Architecture, Data Architecture to ensure that the Data engineering aligns with our go-forward architecture strategy and aligns with existing architecture blueprints. Drive cross-functional execution across Snowflake, data integrators, platform teams, and downstream systems Architect and deliver a shared, interoperable data layer that enables seamless data exchange and unified governance between Snowflake and D 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", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518199847", "isPrivate": false, "latlongs": "33.0198431,-96.6988856"}, {"id": 618518084366, "name": "Senior Data Analytics Engineer", "posting_name": "Senior Data Analytics Engineer", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1784324460, "t_create": 1782655980, "ats_job_id": "76674", "display_job_id": "2026-76674", "type": "ATS", "id_locale": "2026-76674-en", "job_description": "Lead the development, optimization, and maintenance of scalable data pipelines and ETL processes to support the organization's analytical needs. Conduct complex data analysis to identify trends, patterns, and insights, identifying issues and changes with the data and communicating solutions to stakeholders. Collaborate with data scientists, analysts, and business stakeholders to understand their data requirements and provide tailored analytics solutions. Implement and enforce data quality and governance standards to ensure data accuracy, reliability, and security. Design and implement robust data models that facilitate data accessibility and efficient querying for analysis and reporting. Utilize python, Snowflake, and SQL queries to build robust data solutions and for profiling data. Stay informed of industry trends, tools, and best practices in data analytics and engineering, and apply this knowledge to enhance the team's capabilities. Mentor and provide guidance to junior data analytics engineers and analysts, fostering a culture of learning and collaboration. Experience with dbt or Databricks is a plus. Domain experience in personal lines Auto, Property, or other insurance product areas. Proven experience leading cross-functional analytics projects, including stakeholder management, project scoping, and delivering business outcomes. Strong written and oral communication skills required. Bachelor`s Degree in Computer Science, Computer Engineering, or related discipline preferred. Master`s in same or related disciplines strongly preferred. 5-7+ years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in Python, SQL, ETL, Spark, Snowflake. 5-7+ years experience as developer with top quadrant Business Intelligence tools.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518084366", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618518094842, "name": "Senior Analyst, Auto Product", "posting_name": "Senior Analyst, Auto Product", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Product Management", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1784292120, "t_create": 1782749880, "ats_job_id": "76683", "display_job_id": "2026-76683", "type": "ATS", "id_locale": "2026-76683-en", "job_description": "Collaborate with cross-functional partners across USRM to evaluate, test and implement quote flow enhancements that move us toward achieving each channel strategy Analyze and recommend improved consumption of prefill data to ensure optimal experience in our quote flow to increase throughput and reduce expenses Support the operationalization of risk classification into the quoting experience by researching and recommending interview question wording and flow tailored to each channel to minimize friction and risk misclassification Analyze logic governing how midterm or renewal transactions are executed to reduce premium leakage and improve retention (e.g., rewrites, rescores, sensitive life events such as Bereavement endorsement) Conduct competitive intelligence research and deliver product insights that inform experience design decisions Intellectually curious - excited to solve complex problems and identify new opportunities Analytical and technical - able to gather, interpret, and evaluate data across multiple sources; proficient in Excel, SAS/Snowflake, PowerPoint. Conducts moderate to high complexity analysis under general direction. Self-driven with strong organizational skills and proactive follow through Collaborative in partnerships with stakeholders across multiple teams and engaged in contributing to a dynamic and inclusive team culture Able to communicate problems and findings clearly Serves as ad hoc resource for less experienced analysts. Occasionally mentors' others as requested Bachelor's degree in mathematics, economics, statistics, or other quantitative field. Minimum 3 years relevant work experience, typically 4 years. Strong proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). Must have strong planning, organizational, analytical, decision making and communication skills.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618518094842", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517331003, "name": "Principal Quantitative Engineer, Investments Technology", "posting_name": "Principal Quantitative Engineer, Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1782241440, "t_create": 1779393180, "ats_job_id": "76155", "display_job_id": "2026-76155", "type": "ATS", "id_locale": "2026-76155-en", "job_description": "Lead the design and implementation of applications, proofs of concept, and production-grade tooling that advance portfolio construction, asset allocation analytics, and quantitative research workflows. Partner with quantitative analysts and portfolio strategists to convert AI-generated prototypes and research artifacts into robust, production-ready applications. Build and maintain data pipelines for portfolio and market data across public and private markets, leveraging the LMI data ecosystem. Contribute to the team's shared quantitative library, supporting both existing and new models, analytics, and reusable components. Support and extend existing applications and dashboards in production, and drive the design and implementation of new ones to meet evolving research and decision-support needs. Excellent problem-solving and analytical skills, with the ability to think critically, independently, and act with minimal handholding Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders. Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment. Full-stack development knowledge with a minimum of 5 years professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets. Experience with key Python Libraries (pandas, NumPy) required Experience in front-end development and user experience (UX) design required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred. Experience using Version Control (Git) required. Experience using Agentic Programming tools (Github Copilot, Claude) required. Experience developing applications for investment management firms or, more broadly, financial services is a strong plus. Strong SQL skills required. Familiarity with financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques strongly preferred. Strong quantitative background required, with hands-on experience applying statistical, time-series, and optimization techniques using Python libraries (e.g., SciPy, Scikit-Learn, cvxpy, statsmodels) to portfolio construction and asset allocation problems. Deep understanding of investment management and portfolio composition strategies, with knowledge across asset classes including fixed income, public and private equity, and private credit. Demonstrated experience applying quantitative methodologies (including optimization, factor modeling, risk decomposition, and econometrics) to support portfolio construction, asset allocation, and investment decisions. Demonstrated ability to partner with business teams to convert AI-generated artifacts (e.g., prototypes, proofs of concept) into production-ready applications. Experience bridging the gap between rapid AI-developed prototypes to quality full-stack applications is highly valued. Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools. Master's or Ph.D. (or equivalent experience) in a quantitative or engineering field such as Computer Science, Mathematics, Statistics, Econometrics, Financial Engineering, or a related discipline. Eight or more years of software engineering experience A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517331003", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517245830, "name": "Senior Quantitative Analyst - Liberty Mutual Investments", "posting_name": "Senior Quantitative Analyst - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1784257800, "t_create": 1778875140, "ats_job_id": "76096", "display_job_id": "2026-76096", "type": "ATS", "id_locale": "2026-76096-en", "job_description": "Quantitative Model DevelopmentDesign and implement quantitative methods and tools for portfolio construction, performance & attribution, and investment strategies in collaboration with Portfolio Managers, Traders, and Risk Managers. Analytics & VisualizationBuild and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. Machine Learning & AI Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes. Innovation & Continuous Improvement Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge. Project Coordination Oversee multiple projects simultaneously, ensuring timely delivery of high-quality results. Maintain meticulous attention to detail and effective communication throughout all stages of project execution. Numerate self-starter with a bachelor's degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field (Master's degree a plus) 3+ years of experience in portfolio analysis or investment management, with a strong preference for quantitative fixed-income experience. Must have hands-on experience with Python, SQL and familiarity with BI/visualization tools (Dash, Power BI, Jupyter Notebooks). Nice-to-have, Practical knowledge of machine learning and AI (including GPT-based models) and their applications in financial analysis. Preferred experience with BlackRock's Aladdin, Bloomberg, and Macrobond for data extraction, portfolio monitoring, and analytics. Tenacious problem-solving abilities with a focus on efficiency and effectiveness. Strong attention to detail and passion for learning. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. Demonstrated interest in investments and a desire to delve into the intricacies of fixed-income markets.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517245830", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517740211, "name": "Pricing Actuary/Modeler, Commercial Lines", "posting_name": "Pricing Actuary/Modeler, Commercial Lines", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "3046-GRS-Global Risk-US", "t_update": 1784220660, "t_create": 1781549700, "ats_job_id": "76414", "display_job_id": "2026-76414", "type": "ATS", "id_locale": "2026-76414-en", "job_description": "Collaborate with other team members to achieve the following goals. Parameterize UW Risk excluding natural catastrophe risk Build and maintain UW risk models and output exhibits Develop new solutions and improvements for statistical models and processes used to calculate these inputs Maintain clear and concise documentation of methods and activities Implement timely and practical solutions to complex problems Validate model parameterization and model function Collaborate with Underwriting and Actuarial to understand the business and guide development of Risk Analytics tools that accurately reflect the business Communicate processes and parameterization results to stakeholders outside of the team Bachelor's degree or higher in Mathematics, Actuarial Science, Statistics, Finance, Economics, or similar required Minimum 5-7 years relevant experience required Very strong analytical skills with solid understanding of core casualty actuarial methods, techniques, and standards Expert in MS Excel and experience coding; Experience working with Visual Basic for Applications (VBA) and Capital modeling software, R, and Python preferred Experience with stochastic financial modeling and forecasting preferred Experience parameterizing reserve risk and UW risk preferred Comfort with solving new problems and generating ideas for improving existing processes Experience communicating analysis and technical concepts Competencies typically acquired through a Bachelor`s degree in a quantitative field Advanced degree (MBA) and/or professional qualification in one or more areas of risk management is preferred, and 8 to 10 years of relevant experience Additionally, excellent quantitative analysis and modeling skills are required, in addition to significant experience in an analytical capacity (financial analysis, product management, actuarial, underwriting, etc) Working knowledge of ERM-related regulatory frameworks (Solvency II, NAIC ORSA, ComFrame) is a plus Very strong understanding of the risk characteristics of insurance industry required Excellent understanding of basic financial concepts and metrics, including financial statement analysis require", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517740211", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618515899208, "name": "Small Commercial Senior Territory Manager", "posting_name": "Small Commercial Senior Territory Manager", "location": "Irvine, California, United States", "locations": ["Irvine, California, United States", "San Diego, California, United States", "Orange, California, United States", "Aliso Viejo, California, United States"], "hot": 0, "department": "Sales - General", "business_unit": "3040-USRM-Distribution & Marketing-US", "t_update": 1783362780, "t_create": 1772470020, "ats_job_id": "74822", "display_job_id": "2026-74822", "type": "ATS", "id_locale": "2026-74822-en", "job_description": "Territory & Agency Ownership Own and manage an assigned geographic territory, driving profitable growth and achieving written premium, profitability, and operational targets. Lead comprehensive agency management activities, including prospecting, business planning, engagement, training, compensation, and agency plant optimization. Manage a large and diverse agency footprint (100+ storefronts), optimizing performance across the territory. Establish credibility as a trusted advisor by delivering product expertise, underwriting philosophy, appetite guidance, and system training. Support retention initiatives and new business development to deepen agency relationships and maximize revenue. Manage the account pipeline end-to-end, including renewals, and collaborate across multiple underwriting segments to ensure strong outcomes. Ensure appropriate book mix, risk quality, and overall profitability at both the agency and territory level. Develop, execute, and continuously refine high-quality agency and territory strategies aligned to enterprise Personal Lines and Business Lines priorities. Support strategic initiatives such as carrier consolidation (book transfers), agency expansion, service center integration, and new product or program rollouts. Partner closely with underwriting, product management, claims, and risk control teams to identify opportunities, resolve issues, and share competitive and market intelligence. Act as the voice of the agent and customer within the organization. Collaborate with Personal Lines and Business Lines counterparts on shared agency relationships. Provide mentorship and guidance to peers and team members, contributing to continuous improvement and best practices. Proven experience managing agency relationships and driving profitable growth within commercial insurance. Strong consultative, relationship-building, and influencing skills. Ability to work independently with limited supervision while managing complex priorities. Comfort leveraging data, tools, and insights to guide territory and agency strategies. Willingness to travel extensively within the assigned territory for in-person agency engagement. Minimum six years of progressively more responsible insurance sales and management work experience. Advanced knowledge of company services, products, marketing techniques, insurance contracts, risk funding and rating plans, and industry trends. Proven track record of revenue growth and sales success in a prior role. Proven success in developing and building partnerships, decision making and problem solving. Advanced knowledge of the business including production management, claims, loss prevention, underwriting, administration, sales operations and agency business operations. Highly effective written and oral communication skills, including presentation, persuasion, timing, tact and negotiation skills. High degree of customer focus, interpersonal relationship skills and problem solving. Advanced analytical thinking, business analytics and business development skills. Well versed understanding of marketing principles. Must be licensed by the state if required. Ability to travel daily with occasional overnight travel. Appropriate driving record required to operate a company vehicle.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618515899208", "isPrivate": false, "latlongs": "33.6845673,-117.8265049"}, {"id": 618513890386, "name": "Associate, Risk Management - Liberty Mutual Investments", "posting_name": "Associate, Risk Management - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1784130960, "t_create": 1761155700, "ats_job_id": "72799", "display_job_id": "2025-72799", "type": "ATS", "id_locale": "2025-72799-en", "job_description": "Overseeing and advancing LMI's risk management framework Develop and/or enhance risk models and the risk framework to effectively manage risks and to improve risk management capabilities. This will involve data analysis and applying statistical and econometric theories. Prepare monthly and quarterly portfolio risk review material, as well as providing ad hoc portfolio and risk analysis as necessary. Monitoring global market developments and identifying major risks to our portfolio Relating market conditions, industry and regulatory developments to investment execution A degree in Computational Finance, Economics, or technical field and 3-5 years of relevant work experience is required. A graduate degree would be a plus. A strong quantitative background, including statistics, computational or numerical simulation methods, and econometrics Programming experience in dynamically typed languages, including Python, Excel VBA, SQL Familiarity with generative AI models Demonstrated capability to drive projects to successful completion through cross-functional collaboration Must be a self-starter with ambition and intellectual curiosity, as well as exceptional problem- solving skills, strategic thinking Knowledge of various types of investments and their characteristics, including equities, fixed income investments, real estate/real assets and alternative investments Familiarity with Bloomberg, Aladdin and other standard financial databases and tools preferred Ability to work independently as well as thrive in a team environment A passion for risk management and a desire to learn about the field Strong communication/interpersonal skills, and the ability to interact with a variety of investments and support 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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;}