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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professional capacity--sharing best practices and identifying opportunities for continuous improvement Conscientious professional: Understanding that the deal isn't done until the paperwork is complete, you'll document account reviews, state-compliant sign-offs and referrals, letters of authority and follow underwriting guidelines 3-5+ years of relevant experience Experience with multi-line insurance products Analytical, problem-solving capabilities Strong territory management skills Excellent communication skills An aptitude for building rewarding relationships with agents and brokers, peer underwriters, underwriting assistants, and junior underwriters Command of insurance finance and actuarial concepts Thorough knowledge of commercial insurance products, underwriting, risk selection, pricing and marketplaces, as well as regulatory issues in relevant territories Understanding of contract language, including regulatory and policy differences among applicable states Familiarity with 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Collaborate with business stakeholders to deliver data products such as feature pipelines, predictive models, dashboards, and datasets derived from image data. Develop and maintain scalable data pipelines and model workflows, applying MLOps best practices for reproducibility, deployment, and monitoring. Research and prototype new methodologies for training, evaluating, and improving deep learning models, particularly for computer vision. Integrate model outputs into business applications and partner with engineering teams to operationalize models in production environments. Contribute to the design, construction, and validation of large and complex datasets in collaboration with cross-functional science teams. Communicate findings through technical presentations, reports, and recommendations to both technical and non-technical stakeholders. Participate in cross-functional working groups and contribute to the broader data science community to promote best practices. Demonstrated expertise in deep learning with an emphasis on computer vision. Strong foundation in machine learning, statistics, experimental design, and model evaluation metrics. Proficiency in Python and MLOps practices, with experience in version control (Git), code review, collaborative development workflows (e.g., GitHub/GitLab), and model versioning/experiment tracking (e.g., MLflow). Proficiency in deep learning frameworks such as PyTorch (preferred) or TensorFlow, with experience in model design, training, and deployment. Experience building and managing pipelines with workflow orchestration tools (e.g., Airflow, Luigi). Experience with Docker and CI/CD pipelines. Experience with container orchestration systems such as Kubernetes. Understanding of GPU acceleration, distributed training, and model optimization techniques (e.g., mixed precision, pruning, quantization). Experience with multimodal learning, including vision-language models and cross-modal representation learning. Track record of advancing research projects from ideation to implementation. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. 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Drives change initiatives within the team. Maintains a visible external profile and excellent relationships with external brokers/agents, partners and stakeholders, leveraging these relationships to help the team achieve their goals and expand their own networks. Acts as a point of escalation/referral on particularly tricky or novel underwriting decisions. Upholds and exemplifies Liberty`s value proposition across the business and market. May cover for manager where required. Accountable for the performance of a portfolio (or part thereof) within a sub-segment of business underwritten by the team. Specific technical responsibilities (e.g., related to planning, portfolio management, marketing, product development etc.) will differ in different parts of GRS. May continue underwriting specific policies and delivering the work of an Underwriter. Degree in Business or equivalent typically required A minimum of 10 years progressive underwriting experience expected, including a minimum of 2 years of proven underwriting management experience, preferred CRIS, CPCU, or professional insurance designation preferred Proven analytical ability to evaluate high impact underwriting risks within scope of responsibility Demonstrated ability to communicate complex analyses and information Demonstrated effective communication and interpersonal skills in dealing with internal and external partners required Must possess the following skills, abilities and attributes: strong leadership skills, development of people, strategic thinking, sustained effective portfolio management and profitable growth, communications skills, decision-making skills, results-oriented, industrious, innovative, problem-solving skills, coaching and mentoring skills, and negotiating skills", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505577034", "isPrivate": false, "latlongs": "34.0549076,-118.242643"}, {"id": 618506181361, "name": "Corporate Treasury Internship (Summer 2026)", "location": "Portsmouth, New Hampshire, United States", "locations": ["Portsmouth, New Hampshire, United States", "Boston, Massachusetts, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1760102040, "t_create": 1755870360, "ats_job_id": "71894", "display_job_id": "2025-71894", "type": "ATS", "id_locale": "2025-71894-en", "job_description": "What you've got You have 0-2 years of professional experience. You are an undergraduate working towards a Bachelor's degree in Accounting, Business Administration, Analytics or equivalent major with a minimum 3.0 cumulative GPA You are detail-oriented and thrive in a fast-paced work environment. You possess strong interpersonal, communication, organizational, and leadership skills. You have a working knowledge of Microsoft Word and Excel. 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Analyze data on drivers of performance and execution of underwriting strategies across Commercial Auto. Identifies and investigates noteworthy observations, translating findings into clear, actionable insights. Monitors and reports-out on performance, deviations from plan along with corresponding insights/trends to cross-functional stakeholders and the North America Auto Product Board; prepares clear, decision-oriented materials and executive updates. Investigates noteworthy portfolio trends and deviations (rate/retention, frequency/severity, mix, limit/deductible structures, exposure and telematics metrics), identifies causal drivers, proposes hypotheses/tests, and executes pilots with clear success criteria. Develops recommendations for portfolio shaping (e.g., areas to grow, fix, or maintain) based on analysis and discussion with partners; socializes a cohesive portfolio story with segments and leadership to drive awareness and action. Supports competitive intelligence, pricing and product strategy research, and market monitoring to inform strategic positioning and go-forward underwriting strategies. Creates and supports processes and tools that enable proactive portfolio management and repeatable, scalable monitoring as the Auto underwriting ecosystem continues to mature. Partners with field underwriting to translate portfolio insights into underwriting appetite, rules, and execution; supports guardrails, referral criteria, and playbook refinements to improve consistency and outcomes. Drafts and maintains auto technical underwriting reference material as needed. Leads and coordinates cross-functional initiatives to implement portfolio and product changes; builds workplans, aligns stakeholders, manages timelines, and tracks outcomes to ensure measurable impact on profitability and growth. Serves as a technical liaison to Product, Actuarial/Analytics, Data Science, and Underwriting Technology to support research, testing, and maintenance of Auto underwriting and product capabilities (e.g., territory models, fleet tiering, mileage/UBI data, advanced location and driving attributes). Knowledge of Commercial Auto underwriting, products, pricing, and rules is required. Professional curiosity, strategic mindset, with strong analytical / critical thinking skills. Track record for making effective data-driven decisions. Objective and results-oriented with a track record of delivering results. Strong planning, organizational, and communication skills with the ability to build clear narratives, project plans, and influence across functions and levels. Demonstrated ability to lead cross-functional projects and influence without direct authority; comfortable operating autonomously, proactively probing partner needs, diagnosing causal drivers of performance, and soliciting feedback on potential portfolio/product initiatives. 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Commitment to achieving Associateship in the Casualty Actuarial Society. Passing grades on a minimum of 2 Casualty Actuarial Exams is required. Minimum 2-4 years relevant experience required. Prior experience and knowledge of basic actuarial techniques and standards and insurance operations. Solid oral and written and presentation communication skills. Solid interpersonal skills and the ability to work in a team environment as well as independently. Ability to exercise discretion and apply independent judgment and critical thinking skills in execution of assignments. Ability to balance multiple projects with some direction. Intermediate MS Office Excel and SAS skills. Ability to build simple models; Programming skills are desirable.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513088262", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513708767, "name": "Actuary, Auto Analytics State Deep Dive", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1760469720, "t_create": 1759768620, "ats_job_id": "72548", "display_job_id": "2025-72548", "type": "ATS", "id_locale": "2025-72548-en", "job_description": "Deliver insight to DSOs to drive actions and influence decisions to achieve top quartile profitability for Personal Lines Auto product. Proactively identifies opportunities, drives analysis, and makes recommendations for appropriate strategies to develop, evaluate, and enhance state tactics. Develop deep state expertise to help inform state-specific strategy and tactics, including the historical and future strategy, industry/regulatory environment, product/program designs and constraints, etc. Collaborate with Actuarial, Finance, Claims and Data Science to gain a better understanding and assess and improve profitability by coverage/peril in the assigned states. Support cross-team initiatives to enrich the deliverables with state-specific insight. Building trust and credibility with teams beyond State Analytics to drive decisions and execution. Develop a deep understanding of the assigned states in various aspects that contributed to the success of the whole state operations and underwriting economics, pursuing ad-hoc projects as needed to help support evaluation of state levers. Stay informed about macro-economic trends in assigned states, identifying the drivers of segment-level profit opportunities, and incorporating findings from competitor filings/earnings calls, regulatory, and industrial publications. Support an inclusive, equitable, and high-performing culture. Proactively share knowledge on analysis findings, data sources, analytical reports, etc. Coach and mentor junior team members. Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) or in Society of Actuaries (ASA/FSA) 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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This group brings together highly talented thinkers and doers ready to challenge the status quo and make an impact. As a member of this cross-functional group, you'll collaborate with teams across Liberty Mutual to deliver analysis that unlocks insights and sparks new, better ways of working. The Insights & Solutions team provides critical analysis through five functional groups within US Retail Markets. The US Retail Markets 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. This Director, Data Science oversees a team (3-5) of data science, advanced analytics, and actuarial resources. Specifically pushing the boundaries to bring cutting edge segmentation to the H3 (Property) Line of Business. This manager will be recognized as a thought leader for the team in terms of future research, in addition to managing analysts through the model build and rollout phases of the modeling lifecycle. This position requires deep knowledge of predictive analytics techniques, and advanced application of applying those techniques to business issues. About the role: Collaborates with business partners to collect innovation ideas, formally through Quarterly Process Improvement (QPE) meetings, and continuously. Partners across Product teams, USDS, and within Property and Specialty Product Design and Modeling (P&S PDM) team. Establish and maintain strategic partnerships within USDS and external teams to amplify project impact. Recognize when project progress is blocked and effectively communicate with team members and partners to resolve the obstacles and align on best next steps. Responsible for management, technical oversight and development for a team of data science, advanced analytics staff and actuarial talent Challenge the status quo from process to science, considering how we could improve & innovate throughout the Data Science Lifecycle. Once an improvement opportunity is identified, document & prioritize it to be acted upon. Support timely development and implementation of major pricing updates (ex. HMR 3). Following through with research ideas into the model build and rollout phases to ensure execution aligned with original intent. Provides strategic input on highly technically complex projects that drive change across USDS, P&S or Corporate Department. Directs work through others and may perform highly complex, technical and creative predictive analytics projects. Shapes the data science community and leads cross functional working groups. Qualifications Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience. Insurance or financial services industry experience preferred. 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. As a purpose-driven organization, Liberty Mutual is committed to fostering an environment where employees from all backgrounds can build long and meaningful careers. Through strong relationships, comprehensive benefits and continuous learning opportunities, we seek to create an environment where employees can succeed, both professionally and personally. At Liberty Mutual, we believe progress happens when people feel secure. By providing protection for the unexpected and delivering it with care, we help people embrace today and confidently pursue tomorrow. We are dedicated to fostering an inclusive environment where employees from all backgrounds can build long and meaningful careers. By actively seeking employee feedback and amplifying the voices of our seven Employee Resource Groups (ERGs), which are open to all, we create an environment where every individual can make a meaningful impact so we continue to meet the evolving needs of our customers. 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://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 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!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;}