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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Under technical direction, prototypes/develops data solutions of moderate complexity to meet the needs of the organization and business customers. Code proof of concepts utilizing a working knowledge of multiple coding languages, leveraging reusable code modules. May provide assistance to lower level team members. Participate in the design and development of data solutions that enable effective self service data consumption, and can describe their value to the customer. Has an understanding of Agile techniques. Participate in the maintenance of proof of concepts and prototype data solutions, and participates in any assessment of their viability and scalability, with partnership from IT. Working with IT, assist in building robust systems focusing on long term and ongoing maintenance and support. Ensure data solutions include deliverables required to achieve high quality data. Apply a working knowledge of the principles of metadata, lineage, business definitions, compliance, and data security to project work. 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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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Build a team culture of collaboration with all functions to drive overall operational excellence. Through an operational strategy lens, guide and deliver strong visionary leadership to drive a collaborative, agile and high performing culture and organization that is principled, profitable, innovative, and nimble. Maintain strategic focus with a long-term view to the business and the organization. Create a vision and strategy outlining goals and objectives within the area of operations and align with functional partners to ensure that this is understood and endorsed by key stakeholders, including the NA segment leadership team, employees, vendors, and customers. Leads collaboration across GRS North America functions to create and refine analytics, data reporting and technology solutions that enable NA segment strategy and priorities. Partners with underwriting team, actuarial, and claims to develop dashboards and necessary portfolio analysis to support segment leader. Effectively prioritizes and executes key operational initiatives across the segment with a strong project management discipline while championing our Liberty Values & Guidelines to drive employee engagement, best-in-class service, productivity, and profitability. Accountable for ensuring clarity and execution relative to operational key performance indicators (KPIs). Oversees additional initiatives to achieve profit center priorities and provides strategic direction within aligned segment to ensure successful completion. Build and grow innovation capabilities across all functional areas and foster a market-leading culture of innovation and execution regardless of seniority, role, or business unit. Partners with segment leader to lead operational meetings and prioritize competing profit center needs. Drives consistency and alignment of underwriting operations and practices between/among profit centers. Oversees team of direct reports to include as applicable: profit center operational leads, GRS Business Ops Directors and/or UW Support Managers. Matrixed dual reporting into North America Operations COO and NA segment leadership to ensure alignment of goal setting, appraisals and respective operational needs of segment. High level of experience/understanding of commercial property & casualty products; insurance operations; finance and actuarial concepts; regulatory environment; reinsurance; account management; underwriting; and producer management Skills required include analyzing and problem solving; adaptability; decision making, building relationships; working effectively with others Excellent oral and written communication skills Strong presentation skills and an ability to facilitate and build consensus Communicating effectively; negotiation; influencing others; applying financial acumen; focusing on service; executing excellence; planning and organizing work; and achieving results Advanced degree or equivalent training required, CPCU designation (or equivalent) Experience managing and mentoring staff preferred Experience working in an \"Agile\" environment, eg, agile project management Excellent time management and delegation skills High performing, self-driven team player with a willingness to be flexible and take on additional responsibilities depending on the needs of the business Demonstrated ability to foster collaborative relationships and effectively work as part of a broader global / organizational team Ability to smoothly and rapidly adapt strategies and enact mid-course changes to achieve favorable business results 15+ years of experience in operations, systems, organizational improvement", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513790494", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516106945, "name": "P&C Insurance Capital Modeler, Actuary or Sr. ERM Consultant", "posting_name": "P&C Insurance Capital Modeler, Actuary or Sr. ERM Consultant", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Actuarial", "business_unit": "0620-GRS-Office of the CFO-US", "t_update": 1773681180, "t_create": 1773338400, "ats_job_id": "74983", "display_job_id": "2026-74983", "type": "ATS", "id_locale": "2026-74983-en", "job_description": "Collaborate with other team members to achieve the following with the goals. Regularly update capital model parameters and assumptions for multiple models Run the capital model and validate capital model outputs Develop new solutions and improvements for statistical models and processes used to calculate these inputs Implement timely and practical solutions to complex problems Collaborate with model stakeholders across GRS with the goalof better understanding the business and reflect that understanding in model parameters Collaborate with modeling and risk management teams across the company to improve our understanding and modeling of risk Communicate processes and results to stakeholders outside the team Bachelor's degree or higher in Mathematics, Actuarial Science, Statistics, Finance, Economics, or similar required Minimum 5-7 years relevant experience required Strong analytical skills with solid understanding of core casualty actuarial methods, techniques, and standards Expert in MS Excel and experience coding; Experience working with Visual Basic for Applications (VBA) and Capital modeling software, R, and Python preferred Experience with stochastic financial modeling and forecasting preferred Experience parameterizing reserve risk and UW risk preferred Comfort with solving new problems and generating ideas for improving existing processes Experience communicating analysis and technical concepts 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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Provide modeled output for pricing of a variety of reinsurance treaties in a timely manner. Coordinate rollup of catastrophe portfolio and work on ad-hoc projects with Exposure Management team in London. Develop processes for collecting and monitoring data on a monthly basis to ensure a high level of data integrity. Applies expert knowledge to CAT Management and data modeling tools employed by LSM. Independently prepare complex analyses and presents findings to management. Work with CAT Management to create standard reports to keep management informed of current exposure accumulations and forecast of future risk. Develop ad-hoc reporting as required. Work with CAT Management and Entity Management to ensure the efficiency and accuracy of the data collection, modeling and reporting. Retains ownership and management of projects and initiatives directed by CAT management. Identify opportunities for efficiencies and improvements to processes, controls and technology systems related to CAT Management. Develop and implement recommended improvements. 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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;}