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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States", "Remote, Remote, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Analytics", "business_unit": "2004-GRS-Executive-US", "t_update": 1777058700, "t_create": 1774034220, "ats_job_id": "75182", "display_job_id": "2026-75182", "type": "ATS", "id_locale": "2026-75182-en", "job_description": "Own value realization analysis for assigned initiatives across GRS, ensuring that financial, operational, and strategic benefits are clearly defined, baselined, and tracked from inception through delivery. Quantify the impact of key bodies of work by applying analytical techniques to translate value hypotheses into defensible, data-backed assessments that stand up to scrutiny Develop and refine key metrics, KPIs, and targets for transformation initiatives and core workstreams, ensuring each body of work has clear, measurable indicators tied to Our Path to 2030 objectives. Deliver actionable insight to leadership that informs prioritization decisions, surfacing what is working, what is at risk, and where resources and focus should shift to protect or accelerate value. Partner with business and technology leaders as part of broader working teams to understand initiative scope, validate value assumptions, and build shared alignment on how impact will be measured and realized. Build and maintain reporting that tracks plan versus actual performance at the initiative level, making trends, variances, and opportunities visible and actionable. Pressure-test business cases and assumptions with rigor and constructive challenge, holding stakeholders accountable to committed outcomes and flagging risks early. Contribute to the evolution of the value realization framework and measurement standards used across the Transformational Office, helping codify best practices as the capability matures. Embrace a one-transformation-office mindset. The transformation office is a small team, meaning that everyone wears multiple hats. While value capture is the key responsibility, you should expect to contribute to adjacent priorities when deemed fit. We succeed as one team. Masters Degree in Mathematics, Economics, Statistics or any other quantitative field plus a minimum 5 years of applied business / non-academic experience preferred. For non-Masters Degree candidates, Bachelor's Degree and minimum of 7 years of applied business/non-academic experience, or equivalent. Proven track record of developing and applying modeling to business problems. Deep knowledge of data sources, tools and business drivers. Comprehensive understanding of the insurance value chain -- from underwriting and pricing through claims, operations, and distribution -- with the ability to connect process-level knowledge to financial and operational value drivers across the business. Ability to apply more advanced analytical concepts to improve business outcomes. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). 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Define what \"good\" looks like. Lead the design of a complexity-based claims classification framework, defining tiers, complexity drivers, and governance processes for how claims are categorized and re-evaluated over time Develop the methodology for transitioning staffing models from stick-count-based productivity assumptions to work-effort-adjusted capacity models that reflect true time-on-task variation across claim types and complexity levels Design or evaluate approaches to ongoing time-on-task measurement (e.g., system log analysis, work item metadata, structured time studies) to keep standards current as products, processes, and claim mixes evolve Ensure staffing strategy and model logic align with broader USRM Claims goals and account for expected shifts in volume, mix and complexity Develop and maintain standardized metrics, benchmarking frameworks, and reporting structures across studies Master's Degree in Mathematics, Economics, Statistics or any other quantitative field plus a minimum 5 years of applied business / non-academic experience preferred. For non-Master s Degree candidates, Bachelor's Degree and minimum of 7 years of applied business/non-academic experience, or equivalent. Proven track record of developing and applying modeling to business problems. Deep knowledge of data sources, tools and business drivers. Ability to apply more advanced analytical concepts to improve business outcomes. Advanced proficiency in Excel (VBA, macros, scripts, formulas, data visualization, etc.), PowerPoint, and statistical software packages (SAS, Emblem). 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Provide analytical insight and recommendations to State Directors to inform business decisions. Track state-level requirements for actuarial assumptions in filings and apply them appropriately. Develop subject matter expertise which can be leveraged countrywide. Own continuous improvement of processes to ensure efficiency, accuracy, and effectiveness of external actuarial support that are quickly integrated in daily work routines. Queries data for requests outside of base rate support and drive deep dives on an ad-hoc basis. Protect intellectual property by providing information only as required or confidentially as allowed. Communicate effectively with external regulators in writing and verbally, to support business outcomes. Monitors developments in actuarial techniques; Researches laws and regulations; Analyzes developments in the marketplace. Represents the Company on industry and professional committees. 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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Master's degree beneficial. Proficient in Excel, PowerPoint, and data analysis software (e.g., SAS, Access). Must have good planning, organization, analytical, decision-making and communication skills. Experience directly managing others preferred. Excellent analytic, quantitative and problem-solving skills with proven ability to make and execute data driven decisions. Advanced knowledge of product offerings, business processes, product line systems, underwriting rules, pricing plans and databases. Strong understanding of insurance concepts and financial metrics.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618515741185", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517245830, "name": "Senior Quantitative Analyst", "posting_name": "Senior Quantitative Analyst", "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": 1778875800, "t_create": 1778875140, "ats_job_id": "76096", "display_job_id": "2026-76096", "type": "ATS", "id_locale": "2026-76096-en", "job_description": "Quantitative Model DevelopmentDesign and implement quantitative methods and tools for portfolio construction, performance & attribution, and investment strategies in collaboration with Portfolio Managers, Traders, and Risk Managers. Analytics & VisualizationBuild and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. Machine Learning & AI Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes. Innovation & Continuous Improvement Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge. Project Coordination Oversee multiple projects simultaneously, ensuring timely delivery of high-quality results. Maintain meticulous attention to detail and effective communication throughout all stages of project execution. Numerate self-starter with a bachelor's degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field (Master's degree a plus) 3+ years of experience in portfolio analysis or investment management, with a strong preference for quantitative fixed-income experience. Must have hands-on experience with Python, SQL and familiarity with BI/visualization tools (Dash, Power BI, Jupyter Notebooks). Nice-to-have, Practical knowledge of machine learning and AI (including GPT-based models) and their applications in financial analysis. Preferred experience with BlackRock's Aladdin, Bloomberg, and Macrobond for data extraction, portfolio monitoring, and analytics. Tenacious problem-solving abilities with a focus on efficiency and effectiveness. Strong attention to detail and passion for learning. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. Demonstrated interest in investments and a desire to delve into the intricacies of fixed-income markets.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517245830", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516349053, "name": "Senior Data Engineer, Data Science Infrastructure", "posting_name": "Senior Data Engineer, Data Science Infrastructure", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 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": 618515926621, "name": "Consultant, Product ( Personal Lines Property & Specialty)", "posting_name": "Consultant, Product ( Personal Lines Property & Specialty)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Product Management", "business_unit": "3044-USRM-PL Property & Specialty Product-US", "t_update": 1778617800, "t_create": 1772548740, "ats_job_id": "74842", "display_job_id": "2026-74842", "type": "ATS", "id_locale": "2026-74842-en", "job_description": "Develop and perform complex analyses, including proof of concept testing for vendor data, to help drive business decisions. Advanced querying of data to conduct analysis and build tools and creates queries for others to use. Build and utilize monitoring tools to assess performance of third-party data providers. Conduct thorough research to identify and propose changes to our third-party data ecosystem and product offerings. Provide thoughtful recommendations on third-party data ecosystem, presenting to manager and leadership as appropriate. Liaise with cross-functional stakeholders and vendor partners as needed. Own work streams for moderate to high complexity projects. Actively shares job knowledge with less experienced analysts. May create and/or be owner of training material content. May be assigned to mentor a new hire. May supervise interns. Bachelor's degree in mathematics, economics, statistics, or other quantitative field. Minimum 3 years relevant work experience, typically 4 years. Strong proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). Must have strong planning, organizational, analytical, decision making and communication skills.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618515926621", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517101759, "name": "Personal Lines Senior Territory Manager - Independent Agency Distribution", "posting_name": "Personal Lines Senior Territory Manager - Independent Agency Distribution", "location": "Chicago, Illinois, United States", "locations": ["Chicago, Illinois, United States", "Deerfield, Illinois, United States", "Glenview, Illinois, United States", "Grayslake, Illinois, United States", "St. Louis, Missouri, United States", "Collinsville, Illinois, United States"], "hot": 0, "department": "Sales - General", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1778517180, "t_create": 1777898580, "ats_job_id": "75874", "display_job_id": "2026-75874", "type": "ATS", "id_locale": "2026-75874-en", "job_description": "Own and manage an assigned territory, driving profitable growth in alignment with financial and operational goals. Lead all aspects of agency management, including prospecting, onboarding, business planning, engagement, training, and optimization. Build and maintain strong, in-person relationships with agency owners, leaders, and frontline teams. Act as a trusted advisor by delivering product expertise, underwriting appetite guidance, system training, and support for retention and new business growth. Develop and execute territory and agency strategies to achieve direct written premium, profitability, and new business objectives. Ensure high-quality new business flow, appropriate book mix, and effective risk management across the territory. Partner closely with underwriting, product management, claims, and risk control to identify opportunities, resolve issues, and share market and competitor insights. Collaborate with Personal Lines and Business Lines counterparts on shared agency relationships to ensure a coordinated approach. Leverage internal data, tools, and programs to drive agency performance, production, and profitability. Provide leadership, mentoring, and thought partnership to peers while contributing to continuous improvement initiatives. Experience managing independent insurance agencies within Personal Lines (property and casualty strongly preferred). Proven success driving profitable growth, new business development, and agency performance within a defined territory. Strong understanding of underwriting principles, risk selection, and portfolio management. Demonstrated ability to influence and collaborate with cross-functional partners without direct authority. Experience developing and executing strategic business or territory plans. Strong consultative selling, relationship-building, and presentation skills. Ability to analyze performance data and translate insights into actionable strategies. Willingness to travel regularly within the assigned territory. Bachelor`s Degree or equivalent industry experience. Minimum six years of progressively more responsible insurance sales and management work experience. Advanced knowledge of company services, products, marketing techniques, insurance contracts, risk funding and rating plans, and industry trends. Proven track record of revenue growth and sales success in a prior role. Proven success in developing and building partnerships, decision making and problem solving. Advanced knowledge of the business including production management, claims, loss prevention, underwriting, administration, sales operations and agency business operations. Highly effective written and oral communication skills, including presentation, persuasion, timing, tact and negotiation skills. High degree of customer focus, interpersonal relationship skills and problem solving. Advanced analytical thinking, business analytics and business development skills. Strong time management and team orientation skills. Well versed understanding of marketing principles. Must be licensed by the state if required. Ability to travel daily with occasional overnight travel. 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!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;}