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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"locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1776866100, "t_create": 1776360480, "ats_job_id": "75622", "display_job_id": "2026-75622", "type": "ATS", "id_locale": "2026-75622-en", "job_description": "Design and implement modeling tools, pipelines, and applications to massively enhance the ease of iteration, evaluation, and deployment of models Develop and have ownership over strategies and roadmaps for how to push USRM Data Science expert teams to achieve dramatically improved processes Lead the building and maintenance of Python packages for use across the organization, including designing architecture, guiding coding agents, and reviewing code Implement AI Agents into Tools via MCP, RAG or other methods/frameworks (e.g., PydanticAI, LangChain Deep Agents) Utilize pipelining tools such as Luigi, Airflow, celery etc, modeling packages such as MLflow, h2o, sklearn, optuna, LightGBM etc, and python tools such as Pydantic, fastAPI, uv, ruff, pytest etc. Follow and promote MLOps and AI Agent best practices across the organization, collaborating with groups like Enterprise Data & Data Science Keep up to date with the state-of-the-art developments in Data Science open-source frameworks, MLOps, and agentic coding practices Shape the direction of the Tools team and build a cohesive team culture of ownership, and shared growth Data Office Claims & Service, Insights & Solutions Data Science The US Retail Markets (USRM) 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. 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.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516798604", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516349053, "name": "Senior Data Engineer, Data Science Infrastructure", "posting_name": "Senior Data Engineer, Data Science Infrastructure", "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", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1776081480, "t_create": 1774452720, "ats_job_id": "75248", "display_job_id": "2026-75248", "type": "ATS", "id_locale": "2026-75248-en", "job_description": "Description Modeling Data Solutions is seeking experienced data engineers to join our Data Solutions job family. This is an exciting opportunity to join the US Data Science Infrastructure department helping to support creating cutting edge pricing programs. You will play a critical role in designing and developing the data solutions needed for research and development as well as providing front line data support in launching new products into market. This is a range posting. 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. In this role, you can expect to: Lead the design, development, and maintenance of scalable and efficient data pipelines and ETL/ELT processes to support analytics and pricing models. Architect and implement high performance data integration solutions using modern tools and cloud services (AWS preferred) with attention to latency, throughput and cost. Implement and maintain automated data quality and testing frameworks (unit, integration, regression, anomaly detection) to ensure data correctness and trust for downstream analytics Collaborate with cross functional teams, including data scientists, product analysts, software engineers, to gather requirements, design solutions, and provide technical guidance for production launches Optimize and tune data infrastructure for performance, scalability, reliability and cost-efficiency (query tuning, partitioning, resource configuration, storage formats such as Parquet/Delta). Mentor and guide junior data engineers, promoting engineering best practices, code review and thoughtful design. Stay up-to-date with advancements in data engineering, evaluate new tools and recommend adoption where appropriate. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, query generation and developer productivity (prompt engineering and code generation) Incorporate Gen AI capabilities into data workflows and developer tooling and help operationalize safe, cost-effective Gen AI integrations. The ideal candidate will: Have strong technical aptitude with data extraction and data engineering platforms (Python, Spark/PySpark, SQL, cloud computing: AWS and Snowflake). Demonstrate 5+ years of experience building production data pipelines and platforms, with both batch and streaming experience Possess hands-on experience with data quality testing frameworks and practices, and experience implementing automated data tests and validation. Have practical experience collaborating in Agile teams and applying Agile best practices (sprint planning, refinement, retrospective). Have excellent communication skills and the ability to work with technical and non-technical stakeholders. Preferred qualifications: Familiarity with ML pipelines and supporting feature stores or feature engineering workflows (Databricks). Prior mentoring or technical leadership experience. Qualifications 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 3-5 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. About Us 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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://www.libertymutualgroup.com/about-lm/careers/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/618516349053", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516839305, "name": "Assistant Director, Data Science (STP)", "posting_name": "Assistant Director, Data Science (STP)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Analytics", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1776677400, "t_create": 1776677400, "ats_job_id": "75680", "display_job_id": "2026-75680", "type": "ATS", "id_locale": "2026-75680-en", "job_description": "Build tools and processes to empower other people. Employer will accept a Bachelor's degree (or foreign equivalent) in Computer Science or Data Science or related field and 5 years of experience in the job offered or in a Assistant Director, Data Science (STP)-related occupation. Alternatively, the employer will accept a Master's degree (or foreign equivalent) in Computer Science or Data Science or related field and 4 years of experience in the job offered or in a Assistant Director, Data Science (STP)-related occupation. Insurance pricing and underwriting. Insurance statistical modeling in Emblem including input data creation and output model formats. Writing Python and SQL with production level ML and Dev Ops code standards including modular and tested code. Version control with git. Performing open-source Python package development with GitHub including GitHub projects and Issues, GitHub Actions, Pull Requests, automated linting and formatting, and test-driven development. Demonstrated understanding of the data science modeling process from dataset creation through model deployment including feature engineering and statistical modeling. Statistical modeling including GLMs, GBMs, Random Forest, clustering, and neural networks. Modeling pipelines using Airflow, Luigi or Celery with model versioning in MLFlow. AWS cloud infrastructure (EC2, EMR and S3). Current state of the Python open-source ecosystem packages including polars, pandas, h2o, sklearn, lightgbm, and pydantic. Ability to evaluate the newest Python packages for inclusion into our tools. Demonstrated ability to operate within a large organization and move the company forward with new technological solutions. Ability to communicate tooling best practices and tool updates via presentations, email and posts, and the ability to train and mentor data scientists on tooling best practices and tool updates. Proven ability to debug multi-layered problems through a suite of tools. Demonstrated ability to gain trust of data scientists and partner with them to solve their coding problems. Position requires domestic (U.S.) travel up to 10%. Telecommuting permitted up to 60%. Multiple Positions Available.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516839305", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516122357, "name": "Analyst, Data Science, Earnix Design", "posting_name": "Analyst, Data Science, Earnix Design", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1776081240, "t_create": 1773409860, "ats_job_id": "74991", "display_job_id": "2026-74991", "type": "ATS", "id_locale": "2026-74991-en", "job_description": "Design best-in-class capabilities to support post-modeling activities, including calibration, dislocation, and filing. Build USDS pricing programs in Earnix. Design and implement other use cases of Earnix as a rating engine. Ensure accuracy of all pricing and non-pricing outputs from Earnix. Design and maintain rigorous data models for Earnix analytical projects and API. As required, troubleshoot and support post launch queries and issues. Improve and automate processes where applicable. Engage with the data science community and participates in cross-functional working groups. Working familiarity with GLMs and GBMs for predictive modeling. Love insurance rating programs and want to get a deeper understanding of how they work. Frequently bring voices together to find patterns in business problems. Are comfortable challenging the status quo to make systems simpler, more robust, and scalable. Enjoy documenting and sharing best practices to accelerate the whole team. Get excited by delivering business critical, production-ready products. Experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live, etc. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Foundational/intermediate 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. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience, a Master`s degree (scientific field of study) and 2 to 3 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 4+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516122357", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618516738326, "name": "Associate Data Solutions Analyst", "posting_name": "Associate Data Solutions Analyst", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1776281760, "t_create": 1776167700, "ats_job_id": "75535", "display_job_id": "2026-75535", "type": "ATS", "id_locale": "2026-75535-en", "job_description": "Develop and enhance data workflows using Python, SQL, and related tools to support reserving activities. Apply structured, logical thinking to analyze problems and design efficient, scalable solutions. Support automation initiatives, including pipeline development and process optimization. Collaborate with actuaries and business stakeholders to translate business needs into data solutions. Analyze datasets to identify patterns, issues, and opportunities for improvement. Communicate insights and technical concepts clearly to both technical and non-technical stakeholders. Contribute to projects involving automation, internal data platforms, and emerging AI capabilities. Continuously learn new tools and technologies, applying them to improve existing workflows. Strong written and oral communication skills required. Bachelors Degree in Computer Science, Computer Engineering, or related discipline preferred Master`s in same or related disciplines strongly preferred. 1-2 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516738326", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618514571625, "name": "Data Product Owner - Liberty Mutual Investments", "posting_name": "Data Product Owner - 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": 1776185940, "t_create": 1765574760, "ats_job_id": "73623", "display_job_id": "2025-73623", "type": "ATS", "id_locale": "2025-73623-en", "job_description": "Own the vision, strategy, and roadmap for integrating external market data into LMI's data warehouse and core data products Develop and manage the product backlog, ensuring clear prioritization aligned with business value, technical dependencies, and stakeholder needs. Partner closely with Data Engineering chapter to design and deliver scalable, well-governed, and high-quality data solutions Act as the voice of the customer (investment teams, operations, risk, and compliance) to ensure data is curated and accessible to meet end-user needs. Drive incremental delivery using Agile methodologies, facilitating sprint planning, review, and refinement activities. Ensure that data products adhere to LMI's standards for data governance, lineage, accessibility, and quality. Bachelor's degree in computer science, Engineering, Finance, or Business Administration (advanced degree preferred). 8+ years of experience working as a Product Owner, Data Product Manager or Data Strategist role within financial services, preferably investment management Working knowledge of investment data domains, such as security reference data, company reference data, benchmarks, positions, and transactions Strong understanding of data management concepts - master data management, metadata, lineage, and data quality frameworks Exposure to order management systems, accounting book of record, or market data vendor platforms Experience working in Agile/Scrum environments with a strong ability to lead, prioritize, and manage multiple workstreams. Excellent communication and storytelling skills; able to articulate technical concepts in business terms Strong analytical and critical-thinking skills with a focus on driving business value through data Demonstrated proficiency in SQL and AI tools, experience with Snowflake a plus", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514571625", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516798600, "name": "Senior Director, Product Owner - Claims & Service", "posting_name": "Senior Director, Product Owner - Claims & Service", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3029-USRM-Experience & Strategy-US", "t_update": 1776960300, "t_create": 1776360480, "ats_job_id": "75623", "display_job_id": "2026-75623", "type": "ATS", "id_locale": "2026-75623-en", "job_description": "The ideal candidate is an outcome focused, strategic operator who can bring clarity to complex programs while building strong partnerships across business and technical teams. You thrive in ambiguous environments, move work forward with conviction, and consistently elevate outcomes through structure, communication, and sound judgment. You are able to see across the system -- connecting ideas, stakeholders, and decisions into a cohesive path to delivery. Moreover, you're able to influence without authority, anticipate challenges before they surface, and create the alignment needed for AI initiatives to succeed at scale. 8+ years of experience managing complex cross functional programs in technology, product management, and data/AI organizations. Experience implementing governance for generative AI or model risk management. Background working directly with Data Science, MLOps, and cloud platforms (AWS/Azure/GCP) required. Demonstrated knowledge of product/program ownership that spans discovery, pilots and scaled delivery, comfortable balancing technical and business tradeoffs. Strong familiarity and application of AI/ML concepts and data science delivery lifecycles; ability to translate technical constraints to business stakeholders. Proven executive presence: experience briefing senior leadership and influencing outcomes with clear, concise presentations. Hands on experience with delivery tools and practices: Jira, Agile/Scrum, OKRs/KPIs, roadmap tooling, status reporting. Familiarity with tools like Microsoft 365 ecosystem (Copilot/Stream), Databricks, or model monitoring solutions Strong stakeholder management skills and ability to navigate matrixed organizations and vendor relationships. Excellent written and verbal communication skills; polished facilitation and workshop skills. Own the end-to-end program roadmap for AI investments across claims and servicing, delivering measurable improvements Move high-impact pilots from discovery to production by coordinating product, data science, engineering and vendor workstreams. Create and standardize lightweight practices (backlog, OKRs, success metrics) so teams can iterate fast and scale what works. Build executive-ready updates and lead decision forums to secure resources and remove blockers. Further operationalize AI governance and compliance guardrails to ensure solutions meet privacy, security and regulatory requirements. Establish training and enablement to accelerate adoption and measurable business value.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516798600", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516494591, "name": "Asst Director, Prod Research", "posting_name": "Asst Director, Prod Research", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Product Management", "business_unit": "3008-USRM-SC Product-US", "t_update": 1777037160, "t_create": 1775222820, "ats_job_id": "75368", "display_job_id": "2026-75368", "type": "ATS", "id_locale": "2026-75368-en", "job_description": "Strategic Vendor Portfolio Management Build and maintain a comprehensive vendor roadmap aligned with strategic objectives (pricing sophistication, risk selection, customer experience, expense efficiency, etc.) in collaboration with functional areas. Scan the market for emerging partners Work with functional areas to develop business cases that quantify benefit, cost, and risk. Facilitate discovery sessions with line-of-business leads to translate pain points and opportunities into clear vendor requirements. Regularly communicate progress and findings to senior leadership. Maintain pulse on InsurTech, data science and automation trends; recommend test & learn pilots that could unlock new revenue streams or operational efficiencies. Present vendor innovation briefs and competitive intelligence to leadership forums, influencing product and service roadmap direction. Manage multiple moderate-to-high complexity vendor projects simultaneously, ensuring on-time, on-budget delivery. Mentor junior analysts and interns; provide coaching on vendor evaluation techniques and analytics best practices. Master's degree or equivalent in mathematics, economics, statistics, or other quantitative field Minimum 6 years relevant work experience, typically 8 years PhD or equivalent research beneficial Expert skills in Excel, PowerPoint, and statistical software packages (eg, SAS, Emblem) Must have exceptional planning, analytical, decision making, communication, and project management 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/618516494591", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516499606, "name": "2026 Spark Summit", "posting_name": "2026 Spark Summit", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Technology", "business_unit": "0021-People, Purpose & Brand-US", "t_update": 1776422100, "t_create": 1775241120, "ats_job_id": "75376", "display_job_id": "2026-75376", "type": "ATS", "id_locale": "2026-75376-en", "job_description": "Description Join Liberty Mutual's Spark Summit -- a two-day, immersive virtual program for college freshmen and sophomores exploring careers in technology. Taking place Thursday, August 6 - Friday, August 7, 2026, Spark Summit offers hands-on skill building, exposure to real-world engineering practices, and meaningful connections with Liberty Mutual technologists, leaders, recruiters and peers. Participants will sharpen technical interview skills, practice practical engineering techniques, learn about diverse career pathways in tech at Liberty Mutual, and gain early access to interviews for the 2027 TechStart Summer Internship Program. What to expect Hands-on skill building: Interactive sessions and exercises designed to strengthen technical, analytical and problem-solving abilities you can use immediately. Technical interview preparation: Practice and feedback to help you prepare for technical interviews and internships. Career insight and mentorship: Hear from senior leaders and engineers about career paths in software engineering and related fields, and connect with mentors and recruiters. Networking and community: Meet peers, current interns and Liberty Mutual employees to build relationships that can help shape your tech career. Internship interview access: Learn about the TechStart Summer Internship Program and receive early access to interviews for the 2027 intern class. Qualifications We encourage current full-time undergraduate freshmen and sophomores to apply if you: Are pursuing or exploring a degree in Computer Science, Computer Engineering, Informatics, Software Engineering, Artificial Intelligence, or a related technology field. Demonstrate strong technical aptitude, analytical thinking, communication skills, and a desire to learn and collaborate. Are fully authorized to work in the U.S. without restrictions now and in the future. About Us 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. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. 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://www.libertymutualgroup.com/about-lm/careers/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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.html_header_searchicon_disabled #top .av_header_border_disabled.av_bottom_nav_disabled .main_menu .menu>li:last-child>a .avia-menu-fx{padding-right:13px;-moz-box-sizing:content-box;-webkit-box-sizing:content-box;box-sizing:content-box;} div .logo{float:left;position:absolute;left:0;z-index:1;} .logo,.logo a{overflow:hidden;position:relative;display:block;height:100%;} .logo img{padding:0;display:block;width:auto;height:auto;max-height:100%;image-rendering:auto;position:relative;z-index:2;height:100%;height:auto;-webkit-transition:opacity 0.4s ease-in-out;transition:opacity 0.4s ease-in-out;} .main_menu{clear:none;position:absolute;z-index:100;line-height:30px;height:100%;margin:0;right:0;} .av-main-nav-wrap{float:left;position:relative;z-index:3;} .av-main-nav-wrap ul{margin:0;padding:0;} .av-main-nav ul{display:none;margin-left:0;left:0;position:absolute;top:100%;width:208px;z-index:2;padding:0;box-shadow:0 8px 15px rgba(0, 0, 0, 0.1);margin-top:-1px;} .av-main-nav ul li{margin:0;padding:0;width:100%;} .av-main-nav ul li a{border-right-style:solid;border-right-width:1px;border-left-style:solid;border-left-width:1px;} .av-main-nav ul li:last-child > a{border-bottom-style:solid;border-bottom-width:1px;} .av-main-nav li{float:left;position:relative;z-index:20;} .av-main-nav li:hover{z-index:100;} .av-main-nav > li > ul{border-top-width:2px;border-top-style:solid;} .av-main-nav > li{line-height:30px;} .av-main-nav li a{max-width:none;} .av-main-nav > li > a{display:block;text-decoration:none;padding:0 13px;font-weight:normal;font-size:12px;font-weight:600;font-size:13px;-webkit-transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s ease-in-out;} .av-main-nav > li > a{-webkit-transition:none;transition:none;-webkit-transition:background-color 0.4s ease-in-out, color 0.4s ease-in-out, border-color 0.8s 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;} .current-menu-item>a>.avia-menu-fx>.avia-arrow-wrap,.current_page_item>a>.avia-menu-fx>.avia-arrow-wrap{display:block;} .avia-menu-fx .avia-arrow-wrap .avia-arrow{top:10px;} .html_main_nav_header.html_logo_left #top .main_menu .menu>li:last-child>a{padding-right:0;} .main_menu .avia-bullet{display:none;} .avia-bullet{display:block;position:absolute;height:0;width:0;top:51%;margin-top:-3px;left:-3px;border-top:3px solid transparent!important;border-bottom:3px solid transparent!important;border-left:3px solid green;} .avia-arrow{height:10px;width:10px;position:absolute;top:-6px;left:50%;margin-left:-5px;-webkit-transform:rotate(45deg);transform:rotate(45deg);border-width:1px;border-style:solid;visibility:hidden;} .avia-menu-fx,#advanced_menu_toggle{-webkit-transition:all 0.3s ease-out;transition:all 0.3s ease-out;} .main_menu a{-webkit-transition:color 0.15s ease-out;transition:color 0.15s ease-out;-webkit-transition:background 0.15s ease-out;transition:background 0.15s ease-out;} @media 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 .main_menu .menu>li:last-child>a{padding-right:13px;} .header_color .main_menu ul:first-child>li>a:hover{background:rgba(255, 255, 255, 0.8)!important;} .menu-item-has-children:hover{background:rgba(255, 255, 255, 0.8);} .main_menu .avia-menu-fx{display:none;} .main_menu .current_page_item a .avia-menu-text{border-bottom:1px solid #1a1446;padding-bottom:6px;} .main_menu .sub-menu,.main_menu .sub-menu li a{background-color:rgba(255, 255, 255, 0.7)!important;border:0;font-size:14px!important;font-family:'roboto-bold'!important;} .main_menu .sub-menu li a:hover{background-color:#e8e8e8!important;} .main_menu li.dropdown_ul_available>a{padding-right:30px!important;} .main_menu li.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:12px;} .main_menu li.dropdown_ul_available>a:hover::after{} #header_main{border:none;background-color:#ffd000;} .logo img{width:250px!important;margin-top:10px;} @media screen and (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;}