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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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": 1777340100, "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": 618516812146, "name": "Senior Data Integration Software Engineer", "posting_name": "Senior Data Integration Software Engineer", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1778068260, "t_create": 1776438600, "ats_job_id": "75661", "display_job_id": "2026-75661", "type": "ATS", "id_locale": "2026-75661-en", "job_description": "Responsibilities include data analysis, debugging, and the modification, integration, and ongoing support of existing and new infrastructure. Bachelor or Master`s degree in technical or business discipline or equivalent experience. Minimum 5+ years of Data Integration engineering experience. Minimum 3-5 years of experience with AWS services (Lambda, S3, Glue, Redshift), BI tools, and building end\u2011to\u2011end data pipelines. Strong technical skills including data processing frameworks, ETL tools, SQL, Python, APIs, and large-scale system integration. Understanding of financial transactional flow, SAP general ledger concepts such as company codes, chart of accounts, accounting entries, coding blocks, profit centers, cost centers, ledgers, currencies, etc. Experience with CI/CD practices & Dev Ops Principles. Strong communication with the ability to collaborate effectively with both technical and non-technical stakeholders with a proven track record of collaboration across multiple organizations, business partners, and stakeholders. Collaboration, adaptability, flexibility and the ability to manage time and prioritize work with a globally distributed development team. Strong analytical and problem-solving skills with an ability to work with ambiguous and incomplete information. Good understanding of agile software development concepts and processes including backlog tracking, prioritization, strong collaboration within a scrum team, and adaptability through incremental delivery. Must be proactive, demonstrate initiative and be a logical thinker, have extensive consultative skills, including the ability to understand and apply customer requirements, including drawing out unforeseen implications and making recommendations for design, the ability to define design reasoning, understanding potential impacts of design requirements. Strong negotiation, facilitation, and consensus building skills. Experience providing production support including troubleshooting issues, requirements gathering and solution design for enhancement requests, as well as implementing the solution. Experience within the Insurance or Finance industry is preferred. 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Solid analytical and problem\u2011solving skills, with the ability to work through defined problems and escalate ambiguity appropriately. Working understanding of agile software development concepts and processes, including participating in backlog refinement, sprint execution, and collaborative scrum team practices. Demonstrates initiative and logical thinking, with the ability to understand customer requirements, follow design guidance, and learn to assess downstream impacts with support from senior team members. Ability to participate in discussions, workshops, and team decision\u2011making, contributing ideas and supporting consensus under guidance. Experience supporting production systems or coursework/projects involving troubleshooting issues and assisting with enhancement requests and solution implementation. 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Develop data provisioning workflows, transformations, and integrations using Snowflake's cloud-native capabilities in an AWS environment. Apply data warehousing best practices, including data modeling, performance optimization, and scalable architecture design. Build and enhance ELT pipelines using Snowflake and Python to ensure reliable and efficient data processing. Partner with data engineers, analysts, and business stakeholders to understand requirements and deliver high-quality data solutions. Support and enhance data quality, governance, and observability practices across the platform. Contribute to CI/CD pipelines and deployment processes, improving automation and reliability of data workflows. Work with enterprise orchestration tools (e.g., ActiveBatch, transitioning to Stonebranch) to manage and schedule data workflows. Participate in code reviews, knowledge sharing, and mentoring, helping to elevate engineering practices across the team. Stay current with evolving data engineering tools and practices, and recommend improvements where appropriate. Bachelor's degree in a technical or business discipline, or equivalent experience. 5+ years of experience in data engineering, with a focus on building and maintaining scalable data pipelines and data platforms. Strong proficiency in SQL and solid understanding of data modeling and data warehousing concepts. Experience with Snowflake and AWS services (e.g., S3, Lambda) in a cloud-based data environment. Experience using Python for data transformation, integration, or automation. Familiarity with ELT/ETL pipeline development and modern data architecture patterns. Experience with CI/CD tools and practices (e.g., GitHub Actions, Bamboo, Jenkins, or similar). Experience working with or exposure to workflow orchestration tools. Experience in investments, asset management, or financial services. Experience with modern data tooling (e.g., data observability, cataloging, or transformation frameworks).", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516564729", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516798604, "name": "Director, Data Science: Data Science Tools team", "posting_name": "Director, Data Science: Data Science Tools team", "location": "Remote, Remote, United States", "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. 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Develop and guide the team members to navigate hurdles (internal and external) with delivery. Overseeing all stages of product creation including design and development Monitoring and evaluating product progress at each stage of the process Liaise with the product team and end-users to deliver a robust design-oriented user experience Provide Agile consulting, guidance and participate in Scrum meetings and product sprints reviews Ensure exemplary communication with all stakeholders including senior business leaders Articulate solutions /recommendations to business users. Present analytical content concisely and effectively to non-technical audiences and influence non-analytical business leaders to drive major strategic decisions basis analytical inputs Coordinate, prioritize and efficiently allocate team resources to critical initiatives: plan resources proactively, anticipate and actively manage change, set stakeholder expectations as required, identify operational risks and enable the team to drive issues to resolution, balance multiple priorities and minimize surprise escalations. Experience in Power BI and associated advanced tooling experiences such as Copilot and Fabric Experience with SAS and SAS Viya Experience with at least one of the Cloud technologies: AWS, Azure, Snowflake or GCP Experience with at least one of the programming languages: Java, Python and Scala Experience in communicating recommendations to senior business leaders highly preferred. Strong written and oral communication skills required Experience in communicating recommendations to senior business leaders preferred BA/BS, or relevant work experience, in Computer Science or related field preferred MBA or advanced degree in Mathematics, Computer Science, Engineering, Economics, or other quantitative discipline strongly preferred 10+ years of experience working in coding and data solutions design principles, particularly in open source tools and technology, negotiating horizontally and vertically, with a track record of delivering products from ideation to launch", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516363793", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618516981966, "name": "Assistant Director, Data Science", "posting_name": "Assistant Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1777985520, "t_create": 1777075260, "ats_job_id": "75750", "display_job_id": "2026-75750", "type": "ATS", "id_locale": "2026-75750-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516981966", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516800971, "name": "Actuary, Data Science, Reserving", "posting_name": "Actuary, Data Science, Reserving", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1777494420, "t_create": 1776375960, "ats_job_id": "75639", "display_job_id": "2026-75639", "type": "ATS", "id_locale": "2026-75639-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618516800971", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618516521420, "name": "Intelligent Systems Solutions Engineer- Liberty Mutual Investments Technology", "posting_name": "Intelligent Systems Solutions Engineer- Liberty Mutual Investments Technology", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1776081360, "t_create": 1775517180, "ats_job_id": "75408", "display_job_id": "2026-75408", "type": "ATS", "id_locale": "2026-75408-en", "job_description": "40% Solution & architecture design: Map LLM/Gen AI capabilities to business needs; craft secure, scalable solution designs and guide the team through reviews and delivery 40% Hands-on engineering: Rapidly prototype and code Gen AI proofs-of-concept; contribute production-quality Python (and occasional React) services running on AWS 20% Stakeholder & product collaboration: Partner with the Product Owner and Investments stakeholders to refine requirements, set technical direction, and evangelize Gen AI opportunities. Liaise with Compliance, Privacy, and central GenAI teams. Continuously scan the Gen AI landscape: model releases, orchestration frameworks, prompt-engineering trends?and assess fit for our roadmap Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture that earns trust across technical and business teams Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. Advanced knowledge of agile development methodologies as typically acquired through a Bachelor`s or Master`s degree in technical or business discipline or equivalent experience At least 10 years of related experience Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others Advanced Python skills; experience building services that integrate with LLM APIs (OpenAI preferred). Solid understanding of AWS primitives (Lambda/ECS/Fargate, S3, IAM, networking) and secure-by-design principles. Comfort with MLOps concepts (model lifecycle, evaluation, monitoring) and CI/CD automation. Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. 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Participate in end\u2011to\u2011end solution architecture and system design for JVM/Spring services deployed on cloud platforms, integrating with Apigee X, Entra ID, Kafka, and NoSQL/relational datastores. Own and optimize high\u2011volume, low\u2011latency APIs handling millions of requests per day, ensuring strong performance, reliability, and disaster\u2011recovery readiness. Model and manage data across relational databases and NoSQL/document stores (e.g., MongoDB Atlas, DynamoDB, DocumentDB), balancing consistency, performance, observability, and cost. Design and evolve event\u2011driven integrations (Kafka) that connect FNOL, claim registration, coverage, crash events, and outbound communications in a resilient, decoupled way. Embed security and privacy by design by driving threat modeling, enforcing modern authentication and authorization patterns (e.g., OAuth2/Entra ID via Apigee X), and protecting PII throughout the loss data ecosystem. Define and champion standards for logging, metrics, and tracing (e.g., Splunk, DataDog) to ensure services are observable, easy to debug, and easy to operate. Collaborate with product, architecture, and claims business partners to translate the team's loss data platform vision into clear technical roadmaps and well\u2011designed APIs. Provide strong operational support for team owned services, including participating in the on\u2011call rotation, responding to production incidents and client requests (e.g., via Slack and Splunk/DataDog dashboards), driving root\u2011cause analysis, and creating follow\u2011up work to improve reliability. Mentor and coach engineers on system design, cloud\u2011native practices, testing, and operational excellence; foster a culture of continuous improvement and learning. Required 8+ years of professional software engineering experience, including significant hands\u2011on work in Java/JVM with Spring/Spring Boot building production APIs and services. Proven experience architecting and operating cloud\u2011hosted microservices at scale, ideally on platforms such as Cloud Foundry or Kubernetes with AWS\u2011backed services. Strong background designing RESTful APIs and integration contracts for high\u2011throughput, low\u2011latency systems, including experience with OpenAPI/Swagger and API gateways (e.g., Apigee X or equivalent). Solid experience with both relational databases (e.g., Oracle) and NoSQL/document datastores (e.g., MongoDB Atlas, DynamoDB, DocumentDB), including schema design, performance tuning, and data access patterns. Hands\u2011on experience with event\u2011driven architectures and messaging platforms such as Kafka, including designing resilient publish/subscribe and streaming patterns. Demonstrated ability to lead system design and architecture for complex, distributed systems, balancing functional requirements with scalability, resilience, and cost. Strong understanding of security, privacy, and compliance in distributed systems (OAuth2, role\u2011based access, encryption in transit/at rest, PII handling) and experience participating in or leading threat modeling. Experience with observability tooling (e.g., Splunk for logging, DataDog or similar for metrics and APM) and using data to drive performance, reliability, and capacity decisions. Proven track record of technical leadership and mentoring, influencing cross\u2011team decisions, and partnering closely with product and business stakeholders. Excellent communication skills, with the ability to explain complex technical concepts in clear, concise language to technical and non\u2011technical audiences. Experience in insurance, financial services, or other highly regulated domains, especially claims, policy, or telematics\u2011driven products. Hands\u2011on experience with Guidewire ClaimCenter, including integrating external services or data platforms with ClaimCenter in a production environment. Familiarity with canonical data models and legacy system integration patterns. Experience working with telemetry/telematics vendors or messaging/notification platforms (SMS, push, email) in high\u2011volume customer\u2011facing systems. Eight or more years of software engineering experience Strong background in business operations and strategies, including global technology and financial services trends Hands-on involvement with layered systems architectures, designs and shared software concepts Familiarity with functional and system integration testing Experience working in an agile environment Excellent negotiation, facilitation and consensus-building capabilities Openness and adaptability to respond to fast-moving circumstances Proficiency in multiple object-oriented programming languages and tools Excellent oral and written communication skills Aptitude for working in teams In-depth knowledge of diverse and emerging technologies, architectural concepts and principles A deep understanding of layered solutions and designs Awareness of policies regarding security and privacy Understanding of backlog tracking, burndown metrics and incremental delivery A Bachelor's or Master's degree in a technical or business 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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;}