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Prepare actuarial research and complex reports and projects present findings and recommendations. Provide clear and concise communication of technical actuarial work to technical and non-technical audiences, and on cross functional teams. Maintain clear and concise documentation of methods and activities. Interact with and provide actuarial technical assistance and information to peers, senior managers, and others within and outside of the organization. Mentor, motivate, and train less experienced staff and peers. Direct the development of actuarial tools. Strong experience conducting state-level actuarial analysis. Personal lines pricing experience. Experience using Python, Snowflake and/or SAS. Proven math and analytical skills, as normally acquired through the pursuit of a Bachelor's degree in Mathematics, Statistics, Economics, Actuarial Science, or related field. Commitment to achieving Associateship or Fellowship in the Casualty Actuarial Society. Passing grades on a minimum of 5 Casualty Actuarial Exams is required. Minimum 3-5 years relevant experience required. Prior experience and solid knowledge of actuarial techniques and standards, as well as other business operations including financial, underwriting, legal, statistics, claims, sales, etc. Solid oral and written and presentation communication skills and ability to interact effectively within and outside the organization. Solid interpersonal skills and the ability to work in a team environment as well as independently. Ability to motivate and mentor peers and motivate and train subordinates. Ability to exercise discretion, and apply independent judgment and well-developed critical thinking skills in execution of assignments and projects. Ability to balance multiple projects with minimal direction. 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Lead in-depth analytical studies to compare recent performance against business objectives, offering actionable recommendations for product and process improvements. Leverage strong technical skills to identify data attributes needed to complete work and the ability to compile them from US Retail Market (USRM) data sources, often without being able to rely on existing datasets. As needed, develop and validate innovative metrics to explain results in clear and actionable ways. Develop techniques to identify business deterioration and/or adverse selection and provide recommendations to improve results when performance falls below expectations. Develop a deep and robust understanding of the Auto Product, Coverages, and Processes to provide expertise and guidance to the organization as needs arise. Become a subject matter expert, assisting junior analysts and peers across the organization with complex analytical tasks and fostering an environment of collaboration. 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Knowledge of agile engineering practices, development methodologies (Scrum, Kanban) and tools (Jira, Slack, VersionOne). 8 to 10 years of relevant experience in digital analytics, data architecture, data engineering or data product ownership 5+ years' experience leading data analysts, engineers, and/or developers The ideal candidate will have a strong understanding and experience with implementation and usage of web analytics and tagging tools - primarily Adobe Analytics, Google Analytics, Tealium, Tags and others. Adept in connecting requirements to technology, uncovering new uses of technology and defining product evaluation criteria Impeccable attention to detail, while being comfortable with ambiguity Experience with testing analytics tags end to end Team leadership and people development experience that ensures high team satisfaction, development and effective utilization of offshore talent Desire to innovate within the digital analytics and data engineering space to drive efficiency in operations Ability to Support Onboarding and Training internal teams in data collection tools and processes", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503864766", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503469720, "name": "Platform Owner - Moody's Analytics", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1749497340, "t_create": 1744047240, "ats_job_id": "69624", "display_job_id": "2025-69624", "type": "ATS", "id_locale": "2025-69624-en", "job_description": "Serve as the primary product and platform owner for Moody's Impairment and Portfolio Studio, owning the end-to-end lifecycle, roadmap, and performance of the platform. Act as the main liaison with Moody's Analytics, managing the vendor relationship, contract renewals, issue escalation, and roadmap alignment. Collaborate with Finance, Risk, and IT stakeholders to understand business needs and translate them into functional platform enhancements. Oversee platform configuration, data integrations, release testing, and overall solution governance. Lead incident management and problem resolution in collaboration with Moody's support and internal technical teams. Monitor platform KPIs, usage metrics, and ensure compliance with SLAs, data privacy, and internal audit requirements. Stay informed on regulatory changes affecting impairment modeling and partner with the business to ensure platform readiness. Maintain a comprehensive understanding of the full Moody's product and risk model ecosystem (e.g., Impairment Studio, Portfolio Studio, Scenario Studio, CMM, Data Proxy, EDF-X), including how these tools interact, overlap, or operate independently. Act as the internal expert on Moody's platform integration, guiding cross-functional teams on best practices for leveraging Moody's suite across data pipelines, risk assessments, and reporting workflows. Evaluate new Moody's offerings and feature enhancements for potential business impact and integration opportunities. Liaise directly with Moody's product and support teams to stay current on platform updates, interoperability limitations, and planned roadmap developments. Ensure continuity and data quality when bridging Moody's products with in-house systems or third-party risk platforms. 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