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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Design and develop solutions to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science Analyze, develop and execute data integration solutions, to manage the information lifecycle needs of an organization. Designs and builds data provisioning workflows/pipelines, physical data schemas, extracts, data transformations, and data integrations and/or designs using ETL and API microservices Builds data architecture and applications that enable reporting, analytics, data science, and data management and improve accessibility, efficiency, governance, processing, and quality of data. Improve speed to market by focusing on current data needs as well as building out long-term strategic data solutions using AWS, Snowflake, SQL, Informatica, as well as other modern data technologies Provide successful deployment and provisioning of data solutions to production or other required environments. Analyze complex technical problems and is expected to recommend process improvements that address complex technology gaps within a single business process and improve data reliability, quality, and efficiency Bachelor's or Master's degree in technical or business discipline or equivalent experience, technical degree preferred. Generally, 5+ years of professional data engineering experience Highly proficient in data engineering languages and tools, and strong proficiency in general programming languages and frameworks; ability to develop on multiple platforms. Required - Experience integrating Guidewire systems creating Data warehousing solutions in Snowflake for reporting, analytics, or data warehousing purposes, often using APIs and ETL tools. Extensive understanding of agile data engineering concepts and processes, such as CICD, pipelines, and iterative development and deployments Demonstrated experience delivering data solutions via agile methodologies on AWS, S3, Athena, Snowflake, IDMC ETL Requires critical thinking, data analysis, and data modeling experience Must be proficient in SQL and experience with Python and JavaScript Experience with ETL (Informatica PowerCenter/IDMC) and knowledge of variety of data platforms and ingestion patterns including eventing & streaming Demonstrate leadership and active pursuit of optimizing data, CI/CD process and tools, test frameworks & practices Must be proactive and self-driven, demonstrate initiative and be a logical thinker. Strong leadership, communication, collaboration skills with a track record of taking solution ownership Thorough knowledge in the following areas: Personal Line P&C insurance, general IT concepts, strategies and methodologies, thorough knowledge of new data architecture principles and concepts, thorough understanding of layered systems architectures, extensive knowledge of business operations, strategies and objectives.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504920181", "isPrivate": false, "latlongs": "43.0717552,-70.7625532"}, {"id": 618505375104, "name": "Senior Cloud Data 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": 1754422500, "t_create": 1751572380, "ats_job_id": "71095", "display_job_id": "2025-71095", "type": "ATS", "id_locale": "2025-71095-en", "job_description": "Work in a Data and Analytics squad to design and build robust data pipelines that deliver high-quality insights to our investment teams. Collaborate with diverse teams of data engineers and product partners who believe in continuous learning, respectful collaboration, and inclusive data solutions. Build and optimize scalable, reliable, high-performance automated data pipelines and solutions using Snowflake and AWS. Drive data quality, governance, and observability practices throughout the development lifecycle. Stay current with industry trends and best practices in data engineering and recommend improvements to existing processes. Contribute to a culture of learning by mentoring junior engineers, participating in code reviews, and promoting engineering excellence and best practices. A bachelor's degree in technical or business discipline, or equivalent experience. 5+ years of experience in data engineering, with designing, building, and optimizing scalable data pipelines and architecture. Expert-level proficiency in SQL and a deep understanding of data modeling, data warehousing, and data architecture best practices. Intermediate experience using Python for data transformation, integration, and automation. Hands-on experience with modern public cloud-based data platforms--Snowflake, AWS (e.g., S3, Glue, Lambda). Proficiency with ETL/ELT pipelines and patterns for loading data warehouses and data lakes. Hands-on experience building and deploying CI/CD pipelines (e.g., GitHub Actions, Bamboo, or similar tools). Exposure to the Investments or Finance domain is highly desirable. Familiarity with building and consuming APIs (e.g., REST, API Gateway). Awareness of security best practices, including access control, authentication, and secure processing.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505375104", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505992021, "name": "Product Owner II - Financial Data Modernization", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1755121620, "t_create": 1754927820, "ats_job_id": "71691", "display_job_id": "2025-71691", "type": "ATS", "id_locale": "2025-71691-en", "job_description": "Customer & Stakeholder Partnership: Partner with leaders, business stakeholders, technology partners, and Data Strategy and Governance to deeply understand customer problems, define product vision, and align strategic priorities related to financial data modeling, governance, and cloud data platforms. Backlog & Delivery Ownership: Own and maintain a prioritized product backlog that translates complex financial data and engineering requirements into clear, actionable user stories with acceptance criteria. Manage scope and trade-offs to maximize delivered value and ensure the team's focus on the most impactful work. Agile Team Collaboration: Actively participate in Agile ceremonies (sprint planning, demos, retrospectives), facilitating communication between stakeholders and the squad. Remove roadblocks, clarify requirements, and support continuous alignment on product goals and strategy. Cross-Portfolio Alignment: Collaborate to align data needs and priorities in alignment with overall Finance Data Strategy and Global Finance Technologies North Star Architecture. Negotiate dependencies and priorities across internal and external teams to support integrated delivery. Product Health & Metrics: Define, monitor, and communicate product-level KPIs and health metrics. Balance short- and long-term value delivery with costs, risks, and compliance requirements. Analyze feasibility, cost of delay, and economic trade-offs to support informed decision-making. Governance & Compliance: Understand regulatory, compliance, and industry constraints impacting financial data products. Incorporate these considerations into prioritization and delivery planning to ensure high-quality, compliant data solutions. Customer-Driven Design: Lead customer-driven design (CDD) and usability testing efforts with stakeholders and end-users to validate solutions meet business needs and usability expectations. Incorporate feedback to iterate on the product. Innovation & Continuous Improvement: Foster an experimental mindset to drive innovation in data solutions amidst uncertainty. Identify opportunities for process improvements, automation, and enhanced governance in data modeling and provisioning workflows. Documentation & Knowledge Sharing: Partner with the Data Solutions team to ensure comprehensive documentation of data definitions, transformations, and product roadmaps. Support knowledge transfer and change management activities to facilitate adoption and operational excellence. Bachelor's degree in Business, Computer Science, Information Technology, or related field; Master's degree preferred. Minimum 3 to 5 years experience as a Product Owner, Business Analyst, or equivalent role within Agile teams delivering data products, preferably in financial services or insurance, as well as 7 years in business, technology, or consulting. Strong understanding of data modeling concepts, data governance principles, and cloud data platforms (AWS, Redshift, Snowflake), enabling effective collaboration with data modelers and data engineers. Familiarity with financial data, insurance domain knowledge, or financial services required. Proven ability to translate complex business and technical requirements into actionable work with clear acceptance criteria. Experience managing product backlogs and facilitating Agile ceremonies in fast-paced, dynamic environments. Exceptional communication and stakeholder management skills, proficient in influencing and aligning diverse groups including business, IT, and finance leaders. Demonstrated problem-solving skills with ability to make timely decisions balancing competing priorities. Knowledge of regulatory, compliance, and risk considerations in financial or insurance data products. Comfortable working across multiple portfolios and coordinating with senior product owners and portfolio managers. Strong analytical mindset with a focus on metric-driven product management and continuous improvement. Proactive, self-motivated, and able to work independently while fostering team collaboration and ownership.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505992021", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618503086991, "name": "Senior Quantitative Analyst - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1749497460, "t_create": 1742411460, "ats_job_id": "69347", "display_job_id": "2025-69347", "type": "ATS", "id_locale": "2025-69347-en", "job_description": "Quantitative Model Development Design and implement quantitative methods and tools for portfolio construction, performance & attribution, and investment strategies in collaboration with Portfolio Managers, Traders, and Risk Managers. Analytics & Visualization Build and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. Machine Learning & AI Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes. Innovation & Continuous Improvement Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge. 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. Tenacious problem-solving abilities with a focus on efficiency and effectiveness. Strong attention to detail and passion for learning. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. Demonstrated interest in investments and a desire to delve into the intricacies of fixed-income markets.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503086991", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505650179, "name": "Senior Product Analyst", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Product Management", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1755528060, "t_create": 1753107960, "ats_job_id": "71335", "display_job_id": "2025-71335", "type": "ATS", "id_locale": "2025-71335-en", "job_description": "Fully own and execute on assigned states' end-to-end rollout of the latest personal auto insurance pricing programs. Gather and document product requirements, clearly communicate requirements to stakeholders, and ensure accurate implementation. Act as the subject matter expert for the pricing program and assigned states, provide thoughtful recommendations that influence state decisions and help drive corporate strategy. Lead cross-functional workstreams and manage moderate to high complexity projects. Conduct complex analyses to drive and support business decisions; where necessary, conduct in depth research of competitor offerings and filings. Educate IT partners on business vision and plan, and both IT and business partners on the impact of changes. Independently manage project timelines, flag risks and develop contingency plans, escalate blockers as appropriate. Regularly update leadership and stakeholders on project progress, addressing concerns and managing communication channels. Lead job shadow discussions with less experienced analysts. Provides technical training and user support to business groups. Bachelor's degree in mathematics, economics, statistics, or other quantitative field Minimum 4 year's relevant work experience, typically 6 years. Advanced proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, SQL, PowerBI, Snowflake). Must have strong planning, organizational, analytical, decision making and communication skills. Experience managing projects preferred.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505650179", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618506080531, "name": "Sr Analyst - Product Analysis - Personal Lines Auto", "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"], "hot": 0, "department": "Strategy & Planning", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1755529260, "t_create": 1755281880, "ats_job_id": "71787", "display_job_id": "2025-71787", "type": "ATS", "id_locale": "2025-71787-en", "job_description": "Dive deep into data analysis to uncover trends, performance insights, and opportunities for growth in assigned states. Be the go-to expert for state-specific auto product strategy, delivering actionable recommendations that improve pricing, training, and overall product offerings. Lead and drive your own projects, managing work streams that have meaningful business impact. Collaborate closely with state teams, DSOs, IT partners, and product managers to align strategies and implement nationwide initiatives. Stay ahead of the competition by researching market dynamics, competitor filings, and customer needs to inform innovative product changes. Share your expertise by mentoring junior analysts, developing training materials, and leading sessions that empower your colleagues. Conducts moderate to high complexity analysis under general direction. As subject matter expert for assigned states, completes state reviews and similar work for basic states independently and for complex states or countrywide programs under general direction. Queries data to conduct ad hoc analysis of metrics and builds simple tools and queries for others to use. Provides recommendations to training and processes to manager. Provides complex analysis to help drive and support business decisions. Provides thoughtful recommendations to state teams on pricing, strategy, etc. Consults on complex business issues and design considerations. Educates IT partners on business vision and plan, and both IT and business partners on the impact of changes. Serves as point person for moderate to high complexity country wide implementations. Leads own work streams on medium to long-term or moderate to high complexity projects. May manage aspects of low to moderate complexity projects. Based on strong understanding of how competitor actions impact marketplace, distribution channel and customers, conducts in depth research of competitor filings utilizing various sources. Research may be at the state, competitor or countrywide level. Through research, identifies and proposes changes to our product offerings. Analyzes trends and is responsible for tactical and strategic recommendations. May create and/or be owner of training material content. May create formal training sessions and modules. Actively shares job knowledge with less experienced analysts. Leads job shadow discussions with less experienced analysts. Provides technical training and user support to business groups. May be assigned to mentor a new hire. May supervise interns. Advanced Excel Working knowledge of SQL Background in Product Analysis Bachelor's degree in business, economics, or other quantitative field. Minimum 3 years, typically 4 years or more of relevant work experience. Proficient in Excel, PowerPoint, and data analysis software (e.g., SAS, Access). 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Uses data and stakeholder input to identify actionable opportunities that support underwriters in achieving Direct Written Premium (DWP) targets. Acts as a subject matter expert for underwriting standards, digital workflow, and cross-line initiatives, independently managing the deployment and adoption of countrywide programs to enhance underwriting efficiency and effectiveness. Collaborates with Small Commercial leadership, Underwriting Operations Consultants, UES, Product, and Compliance teams to review and refine underwriting appetite, guidelines, and system functionality, providing strategic recommendations that influence company-wide underwriting policies and practices. Develops and leads deployment plans for new underwriting strategies and digital automation initiatives, ensuring clear ownership of communication, training, and system support tasks, and monitoring implementation effectiveness through quality assurance collaboration. Conducts high-level analyses of underwriting performance, field feedback, and system impacts to support continuous improvement initiatives, making thoughtful recommendations that drive profitability and operational excellence across assigned lines of business. Consults on complex underwriting and business process issues, educating IT and business partners on the vision, impacts of changes, and necessary adaptations to support scalable and cost-effective underwriting operations. Creates, updates, and leads training materials and sessions related to underwriting standards, workflows, and system changes, actively sharing expertise with internal teams and mentoring less experienced colleagues. Manages multiple projects of moderate to high complexity, leading work streams and coordinating cross-functional efforts to meet strategic goals and respond promptly to field escalations and emerging business needs. Project Management Professional (PMP) certification or equivalent is highly desirable. Strong understanding of project management methodologies (Agile, Waterfall, etc.) and tools (e.g., JIRA, Microsoft Project). Excellent leadership, communication, and interpersonal skills. Proven ability to manage multiple priorities and projects in a fast-paced environment. Strong analytical and problem-solving skills with a focus on delivering results. Experience with change management and stakeholder engagement strategies. Bachelor's degree in business, economics, or other quantitative field Minimum 6 years, typically 8 years or more of relevant work experience Master's degree beneficial Proficient in Excel, PowerPoint, and data analysis software (e.g., SAS, Access) Must have good planning, organizational, analytical, decision making and communication skills Experience managing projects preferred", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505954317", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618504562230, "name": "Senior Fixed Income Portfolio Analyst - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1749497460, "t_create": 1747420920, "ats_job_id": "70284", "display_job_id": "2025-70284", "type": "ATS", "id_locale": "2025-70284-en", "job_description": "Integrate fundamental and quantitative analysis across fixed income sectors, including corporates, structured products, government bonds and derivatives Develop and maintain analytical models, dashboards and investment tools to quantify risk and guide portfolio construction Collaborate with portfolio managers and traders to identify and analyze opportunities Utilize data analysis techniques to analyze credit spreads, yield curves and macroeconomic indicators relevant to fixed income investing Work with internal teams to enhance investment processes Support reporting efforts by preparing presentations and insights for senior leadership and investment committees 1-5 years' experience in fixed-income research, trading, or portfolio analytics Bachelor's in Finance, Economics, STEM or related; CFA/advanced degree a plus Strong understanding of fixed-income securities, derivatives, and cross-asset market structure Proficiency in quantitative and market analytics Working knowledge of Python, SQL or similar programming languages a plus Detail oriented self-starter with strong quantitative, problem-solving and critical-thinking skills", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504562230", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505954160, "name": "Senior Software Engineer", "location": "Indianapolis, Indiana, United States", "locations": ["Indianapolis, Indiana, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1755536160, "t_create": 1754595360, "ats_job_id": "71650", "display_job_id": "2025-71650", "type": "ATS", "id_locale": "2025-71650-en", "job_description": "Collaborate well with others: Believes strongly in the benefits of paired programming and is comfortable sharing ideas and creative solutions aimed at continuously improving our systems and development practices. Work with Scrum Masters, Product Owners, Solutions Engineers, Architects and peers to iteratively create software that meets business and technical requirements Create and maintain technical documentation Develop automated tests (Unit, System, Integration, Regression) A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience At least 5+ years of software engineering experience in Javascript, Typescript, Vue, React, Java, Spring Boot, GIT/GitHub, Junit, Jmeter, Selenium, and AWS CDK. Preferred technologies include: DynamoDB, Kafka, SNS, EC2, S3. 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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container 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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;}