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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Build & Automate - Design, develop, and deploy automated solutions using Python and other modern tools to replace manual, time-intensive processes. Innovate on Analytics - Elevate existing actuarial analyses through automation, enhanced data pipelines, and dynamic reporting capabilities. Collaborate Cross-Functionally - Partner with actuaries, data engineers, and IT teams to ensure solutions are scalable, sustainable, and well-integrated. Document & Educate - Build robust documentation and champion best practices, empowering the broader team to leverage and maintain automated tools. Stay Ahead of the Curve - Continuously explore emerging tools, technologies, and methodologies to keep our capabilities on the cutting edge. Hands-on reserving background - Deep familiarity with loss reserving methods, triangles, development patterns, and actuarial review cycles. Programming proficiency - Meaningful experience with Python (e.g., pandas, NumPy, openpyxl, or similar libraries) and/or other automation tools. Problem-solving mindset - Demonstrated ability to look at a complex manual process and engineer a smarter solution. Self-starter attitude - You don't wait to be told what to build next; you identify the need and get to work. Experience with workflow automation tools (e.g., SQL, VBA, R, Power Automate, or similar). Familiarity with version control systems such as Git. Exposure to data visualization tools (e.g., Power BI, Tableau, or Python-based dashboards). Experience working in an Agile or iterative development environment. Intellectually Curious - You love learning new skills and aren't afraid to venture outside your actuarial comfort zone. Driven & Motivated - You set high standards for yourself and take pride in delivering quality work. Builder Mentality - You're energized by creating things that didn't exist before and seeing others benefit from your work. Clear Communicator - You can translate complex technical concepts for both actuarial and non-technical audiences. Detail-Oriented, Big-Picture Thinker - You sweat the details without losing sight of the broader strategic goal. Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation preferred or comparable education/designation with relevant experience. Minimum 5-7 years relevant experience required. Sound knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Advanced communication and interpersonal skills and ability to build relationships and interact effectively with others within and outside the organization. Ability to motivate and mentor peers and motivate and train subordinates. 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Demonstrate a working understanding of complex multi-tier, multi-platform systems, and apply principles of metadata, lineage, data dependencies and hierarchy, business definitions, compliance, and data security to project work. Use critical thinking to synthesize varied requirements into actionable, flexible solutions. Design proof-of-concept solutions using an advanced understanding of financial insurance concepts and multiple coding languages to meet technical and business requirements; perform iterative testing to ensure specifications are met. Serve as a technical guide and mentor for junior associates. Manage multiple priorities while maintaining strong attention to detail and ensuring tasks are completed accurately and timely. Design and develop data solutions that enable effective self-service data consumption and clearly communicate their value to the customer. Assist stakeholders in defining metrics that are impactful to the business. Prioritize work based on customer value and demonstrate strong knowledge of Agile techniques. Foster cross-functional collaboration between business and technology teams Set expectations for deliverables of high complexity. Stay current on new technologies and apply them as needed to advance initiatives. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, general productivity (prompt engineering and code generation) Principal Data Solutions Analyst: $110,300 - $155,800. 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Configure and support data ingestion, validation, enrichment, matching, and distribution processes within the enterprise data management system. Support reporting, analytics, and downstream data integration processes connected to the EDM platform. Build and maintain scalable ETL/ELT pipelines for market, reference, and transactional data. Integrate data from internal and external vendors, APIs, flat files, and enterprise applications. Implement data quality checks, reconciliations, exception handling, and monitoring processes. Collaborate closely with data engineers, analysts, and product stakeholders in an agile, squad-based model. Mentor junior engineers, participate in code reviews, and promote engineering best practices and standards. Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5+ years of experience in data engineering, building and maintaining scalable data platforms and pipelines. Advanced proficiency in SQL with expertise in data modeling and data warehousing concepts. Hands-on experience supporting and developing solutions within Markit EDM. Experience working with market data, reference data, or financial services data platforms. Proficiency in Python for data processing, automation, and integration. Experience troubleshooting complex production data issues. 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Establish clear data ownership and stewardship models, including decision rights, accountability, and escalation paths, embedding stewardship into business operating rhythms rather than standalone governance forums. Set and operationalize GRS standards for data quality, critical data elements, and authoritative definitions, ensuring consistent application and remediation, and providing leadership visibility into data trust and material risks. Provide governance oversight for data platforms and the GRS Data Marketplace, supporting consistent metadata, definitions, quality signals, lineage, and access expectations, along with a governed-by-design approach that enables trusted data discovery and reuse. Align data governance with risk, privacy, and regulatory requirements, translating policies into practical data standards and controls while proactively surfacing dependencies and risks to senior leadership. Drive stakeholder engagement and adoption by leading and developing the direct team, coordinating matrixed local governance resources, enabling cross-functional collaboration, leading change, and measuring governance maturity, adoption, and impact in executive-relevant terms. Deploy and evolve a robust data governance scorecard to measure program progress, adherence to standards, and overall governance maturity, providing leadership with clear, actionable visibility into outcomes, gaps, and priorities. Proven experience building and scaling enterprise data governance programs Experience establishing global accountability, regulatory compliant data practices Experience defining and operationalizing data product ownership and standards Experience implementing and managing critical data element frameworks Experience driving adoption across business and technology stakeholders 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 7-10 years of experience working in coding methodologies and design principles, particularly in open source tools and technology", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517543368", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"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", "New York, New York, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1780262460, "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. 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Annual FTO days (Flexible Time Off): 20 Minimum of 6-8 years relevant work experience required for Assistant Director level Minimum of 7-10 years relevant work experience required for Director I level Expert skills in Excel and PowerPoint Must have exceptional planning, analytical, decision-making, communication, and project management skills Understanding of commercial insurance concepts, underwriting process, and financial metrics Self-starter who takes the initiative to lead their own projects and can set a vision Ability to manage high degrees of complexity and ambiguity Strong collaboration / relationship-building skills", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517552112", "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": 1779890220, "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. 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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. 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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;}