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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Minimum 3 years, typically 4 years or more of relevant work experience. Proficient in Excel, PowerPoint, and data analysis software (e.g., SAS, Access). Must have good 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/618513828024", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618513826057, "name": "Senior Compensation Specialist", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Human Resources", "business_unit": "0021-People, Purpose & Brand-US", "t_update": 1761010380, "t_create": 1760631720, "ats_job_id": "72704", "display_job_id": "2025-72704", "type": "ATS", "id_locale": "2025-72704-en", "job_description": "Leads the administration of annual compensation planning, including merit design, budget planning and modeling. Participates in market surveys and partners closely with Finance to build a holistic budget recommendation to ensure market competitiveness. Oversees the global merit budget process and provides guidance, as needed, to international compensation partners. Ensures smooth merit execution. In alignment with our internal job architecture, redesigns the promotion process construct with a global, enterprise lens. Establishes the go-forward promotion design based on market practice and guiding principles developed in partnership with the Finance and Performance teams. Leads the design and standardization of the promotion process across the enterprise by embedding promotion cycles within the performance cycle. Continually reviews, refines, and evolves the design of the promotion process throughout the performance year to ensure alignment with our compensation philosophy and strategy. Advances the 3-5-year compensation roadmap by leading program re-design changes in support of our long-term vision. Program areas include simplifying global merit methodology, identifying opportunities to optimize technology to support program delivery, and researching new pay practices in line with market practice. Independently conducts complex analyses and modeling. Uses data to support the design, development, and evolution of compensation programs to better align with current industry trends and competitive landscape. Serves as project manager, team member or advisor on small to moderate-sized compensation projects by gathering, organizing, and analyzing data as well as presenting findings and recommendations. Proactively identifies opportunities to redefine and streamline processes. Partners with key stakeholders to develop and implement changes and recommend best practices. Bachelor`s degree (preferably in Human Resources or Business Administration) or equivalent experience required, in addition to 5-7 years of relevant and progressively more responsible experience in compensation or other quantitative business field. Strong analytical, decision making, and problem-solving skills; demonstrated ability to learn complex concepts quickly and apply business and financial acumen. Excellent interpersonal, written and verbal communication skills with ability to articulate complex concepts; strong presentation and project management skills. Demonstrates strong business, analytical, and financial acumen, with ability to learn complex concepts quickly. Proven ability to work in a fast-paced, time-sensitive environment; strong attention to detail, deadline driven, and effective at managing multiple priorities and competing viewpoints. Solid PC skills, including proficient use of Microsoft PowerPoint and Excel. Compensation design expertise: hands-on experience designing and implementing compensation programs (merit, promotions, pay structures, global pay practices) and applying job architecture and market benchmarking to program decisions. Excel modeling: ability to build and maintain financial and compensation models (scenario analysis, budgeting, pivot tables, advanced formulas, etc.) to support budget recommendations and program design. Critical thinking & structured problem solving: demonstrated comfort with using data to diagnose root causes, evaluate trade-offs, synthesize insights, and recommend clear, actionable solutions for program design and execution. Familiarity with compensation tools and data sources (e.g., market surveys, industry benchmarks, Compensation platforms such as MarketPay); ability to translate those inputs into program recommendations and partner with Technology to design and test changes. Experience driving process improvements, change management, and cross-functional stakeholder partnerships to operationalize compensation program changes.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513826057", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513817796, "name": "Senior GenAI Data Scientist", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1761001080, "t_create": 1760542680, "ats_job_id": "72691", "display_job_id": "2025-72691", "type": "ATS", "id_locale": "2025-72691-en", "job_description": "Contribute to GenAI projects from design to production implementation, independently or in partnership with other data scientists, depending on complexity of projects. Build POCs (proof of concept) and visualizations to socialize ideas. Mine large datasets to generate insights to inform business decisions. Communicate effectively with stakeholders to understand requirements, provide updates, and articulate value. Collaborate closely with technology and operations teams to ensure seamless deployment and integration of GenAI models into production. Create opportunity sizing based on business impact and create alignment with stakeholders. Assess third-party Gen AI vendor solutions for potential adoption. Create data engineering workflow for cleaning, dataset curation, augmentation. Follow ML Ops best practices to create organized code repos, production-quality code, and reproducible results. Coach and mentor junior data scientists and foster a culture of continuous learning. Regularly engage with the data science community, share knowledge, learn best practices and participate in cross functional working groups. Experience with GenAI evaluation and metrics Experience with software engineering best practices: version control, testing etc Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Foundational/intermediate knowledge of predictive toolset; expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Has a value-driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and no professional experience, a Master`s degree (scientific field of study) and 2 to 3 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 4+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513817796", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618513817795, "name": "Senior Analyst, Data Science", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1761001440, "t_create": 1760542680, "ats_job_id": "72692", "display_job_id": "2025-72692", "type": "ATS", "id_locale": "2025-72692-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513817795", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618513806091, "name": "Senior Financial Analyst", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "New York, New York, United States", "Plano, Texas, United States", "Plymouth Meeting, Pennsylvania, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0620-GRS-Office of the CFO-US", "t_update": 1760642520, "t_create": 1760456520, "ats_job_id": "72671", "display_job_id": "2025-72671", "type": "ATS", "id_locale": "2025-72671-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513806091", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513805586, "name": "Inbound Remote Sales Representative", "location": "Chandler, Arizona, United States", "locations": ["Chandler, Arizona, United States", "Yuma, Arizona, United States", "Flagstaff, Arizona, United States", "Prescott, Arizona, United States", "Kingman, Arizona, United States", "Florence, Arizona, United States", "Phoenix, Arizona, United States", "Chandler, Arizona, United States", "Tucson, Arizona, United States", "Mesa, Arizona, United States", "Mesa, Arizona, United States", "Peoria, Arizona, United States", "Scottsdale, Arizona, United States", "Peoria, Arizona, United States", "Tempe, Arizona, United States", "Peoria, Arizona, United States"], "hot": 0, "department": "Sales - Inside/Call Center", "business_unit": "3040-USRM-Distribution & Marketing-US", "t_update": 1760541420, "t_create": 1760451600, "ats_job_id": "72667", "display_job_id": "2025-72667", "type": "ATS", "id_locale": "2025-72667-en", "job_description": "A Front Lines Liaison: You rise to the role of representing the Liberty brand, you believe in what you're selling, and you enjoy connecting customers to the right products for their individual needs. A Reliable Teammate: Whether you work at the office or from home, you adapt well to different environments, schedules, and the varying needs of our policyholders. A Customer-Centric Closer: While sales is in your title, integrity is in your nature. That means you sincerely care that our customers get exactly the quality products and services they need to embrace today and confidently pursue tomorrow. Position Details: From day one you will begin paid training in a remote work environment. All Inbound Sales Representatives need to hold a Property & Casualty Insurance license. If you do not have one, no worries, paid training also includes licensing! Training extends over a period of 16 weeks for licensed hires and 18 weeks for unlicensed hires. Comprehensive medical benefits from Day 1. No cold calls, all incoming warm leads. Opportunities for rewards and recognition. Must be available to work a schedule of 4 weekdays and 1 weekend day with a mid-morning start time. Example 11am-8pm (CST). 2-3 years sales experience preferred. 2 years of sales/service-related work experience required. Strong, engaging interpersonal and persuasion skills needed to close sales Ability to communicate well to both prospects and customers Excellent analytical, decision-making and organizational skills Strong typing capabilities and PC proficiency Property and Casualty License required after hire.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513805586", "isPrivate": false, "latlongs": "33.3061605,-111.8412502"}, {"id": 618513796869, "name": "Senior Claims Resolution Specialist - Environmental", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Claims", "business_unit": "3003-USRM-Claims & Service-US", "t_update": 1760659920, "t_create": 1760385900, "ats_job_id": "72654", "display_job_id": "2025-72654", "type": "ATS", "id_locale": "2025-72654-en", "job_description": "Works autonomously within prescribed authority limits. Manages, investigates, and resolves claims. Investigates and evaluates coverage, liability, damages, and settles claims within prescribed procedures and authority. Recommends ultimate resolution on assigned cases in excess of their authority to local claims management and Home Office. Identifies potential suspicious claims and refers to SIU and identifies opportunities for third party subrogation. Prepares for and attends trials, hearings and conferences and reports to Home Office and local management on status. Confers with trial counsel and prepares trial reports. Communicates with policyholders, witnesses, and claimants in order to gather information regarding claims, refers tasks to auxiliary resources as necessary, and advise as to proper course of action. Responds to various written and telephone inquiries including status reports. Ensures adequacy of reserves. Recommends reserve increases on cases in excess of authority. Accountable for security of financial processing of claims, as well as security information contained in claims files. Responsible for managing the practices and billing activities of outside and in-house counsel. May assist in the absence of the Claims Team Manager, representing the company on matters involving state or federal regulatory agencies. May be involved in special projects and/or mentoring at the direction of local management. Strong background in casualty, litigation and coverage analysis Skilled at writing coverage position letters. Commercial GL or Environmental claims background Must have an expert knowledge of coverage, liability, and complex claims handling procedures. Must be able to effectively handle claims at the highest technical and complexity level. Must be knowledgeable of state and federal laws in the adjuster's jurisdiction. A full working knowledge of claims operations and procedures is required. Excellent written and oral communications skills required as well as strong interpersonal, analytical, investigative and negotiation skills. The capabilities, skills and knowledge required is normally acquired through a Bachelor's degree or equivalent experience and at least 7 years of directly related experience. Ability to obtain proper licensing as required.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513796869", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618513796637, "name": "Senior Underwriter, Small Commercial", "location": "Kansas City, Missouri, United States", "locations": ["Kansas City, Missouri, United States", "Columbia, Missouri, United States", "Remote, Remote, United States", "Springfield, Missouri, United States", "St. Louis, Missouri, United States"], "hot": 0, "department": "Underwriting", "business_unit": "3008-USRM-SC Product-US", "t_update": 1760560140, "t_create": 1760382540, "ats_job_id": "72652", "display_job_id": "2025-72652", "type": "ATS", "id_locale": "2025-72652-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513796637", "isPrivate": false, "latlongs": "39.0997265,-94.5785667"}, {"id": 618513796391, "name": "GenAI Security Platform Architect", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Indianapolis, Indiana, United States", "Portsmouth, New Hampshire, United States", "Indianapolis, Indiana, United States", "Plano, Texas, United States", "Remote, Remote, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1761057780, "t_create": 1760381640, "ats_job_id": "72651", "display_job_id": "2025-72651", "type": "ATS", "id_locale": "2025-72651-en", "job_description": "Bachelor's degree in Computer Science, Engineering, Information Security, or equivalent experience. Minimum 8+ years in Cybersecurity with 3+ years focused on securing AI/ML systems or GenAI applications in production. CISSP certification required Demonstrated deep technical experience designing secure architectures for: ML pipelines and MLOps platforms (data ingestion, feature stores, training, model registry, deployment, monitoring). GenAI workloads (LLM APIs, fine-tuning, RAG, vector databases, agent frameworks). Cloud-native environments (containers/Kubernetes, serverless, service mesh, VPC/network security). Strong knowledge of AI-specific threats and mitigations: data poisoning, model inversion/membership inference, model theft/IP protection, adversarial examples, prompt injection/jailbreaks, exfiltration via outputs, and LLM supply chain risks. Practical familiarity with security frameworks and standards: NIST AI RMF, OWASP Top 10 (including LLM apps), MITRE ATT&CK and ATLAS, or similar. Hands-on experience implementing: Identity and access controls for AI services (service principals, fine-grained IAM, token and key management). Secrets management (Vault, KMS/Key Vault/Cloud KMS/HSM), encryption-in-transit/at-rest, data tokenization, DLP. Monitoring/logging for AI systems (model telemetry, prompt/response logging with privacy controls, drift/anomaly detection). Demonstrated ability to quickly learn and build expertise in diverse and emerging technologies and new architectural concepts and principles Strong influencing and consensus building skills, and the adaptability to respond to change quickly Strong communications skills, both written and verbal Ability to effectively collaborate with all levels of the organization with diverse backgrounds Strong desire to drive change, and ability to adapt to change quickly Excellent communication skills; ability to influence architecture and risk decisions across engineering, product, and executive stakeholders. Experience with enterprise GenAI platforms and tools: MLOps: SageMaker, Vertex AI, Cortex, AWS ML, Azure ML, MLflow, KServe/Seldon/Triton, Feast/Tecton HuggingFace. LLM/GenAI: Azure OpenAI, AWS Bedrock, OpenAI, LangChain/LangGraph/Semantic Kernel, vector DBs (Pinecone, Weaviate, FAISS/Chroma), guardrails/middleware (e.g., Llama Guard, Lakera, Protect AI, Robust Intelligence, HiddenLayer), GitHub Copilot, GitHub Copilot Coding Agent, Devin.ai, M365 Copilot, Copilot Web. Observability: Prometheus/Grafana, ELK/Opensearch, Splunk, Cribl; AI eval frameworks and red-team tooling. Advanced degree (MS/PhD) in Security, ML/AI, or related field is a plus. 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Provide both strategic and hands-on direction in Specialty pricing model development, including technical oversight, execution, and timely delivery of new models. Oversee the design, build, and implementation of predictive models for Landlord, Umbrella, Condo, Renters, and related Specialty products. Partner with leaders across the Property and Specialty Product group and the Specialty Risk Analytics team to align modeling efforts with business strategy, including strategizing complex objection responses. Drive innovation in modeling techniques and processes, identifying opportunities to enhance current models and anticipate future product needs. Responsible for the management, technical oversight and development a team of data science and advanced analytics staff, which may include subordinate managers. Coaches team to understanding of organizational vision and goals. Collaborates with business partners to develop tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making. Provides strategic and tactical direction at the highest levels. Has accountability for the performance and results of one or more large, strategically important business unit in an extremely large market. Works on issues of diverse scope where analysis of situation or data requires evaluation of a variety of factors, including an understanding of current business trends. Owns relationship with a defined segment of the business, delivering advanced tools and insights, including ongoing monitoring of metrics and initiatives. Responsible for highly technical, individualized and difficult to develop tools and their usage which are transformative in nature and have broad strategic impact to the aligned business units(s). Leads highly technical, complex, and cross functional projects that drive change across function, SBU or Corporate Department. Directs and may perform highly complex, technical and creative predictive analytics projects and cross functional assignments within designated business unit collaborating with multiple functions. 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