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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Maintain and enhance supplemental Majors pricing tools. Drive continuous improvement of processes and methodology. Create new tools and processes to support quarterly profit reviews, product planning and strategy evaluations, including quantification of UW strategies. Partner closely with the Majors segment support teams to design and develop standardized tools and exhibits. Collaborate with Data Solutions and NA Data Office to bring new data solutions to the team, streamline/automate processes, and optimize dashboards. Partner with other actuarial teams to build upon portfolio segmentation (RAMP) framework, enhancing existing framework for Majors. Perform analyses to assist with business evaluation, decision making and strategy development. Provide clear and concise communication of technical work to underwriters, business stakeholders, and senior leadership. Proactively identify training opportunities; create & deliver content accordingly. 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. Advanced computing skills (MS Office Excel, SAS, etc.) with ability to build complex models. 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Work across functions to lead complex and creative actuarial pricing analyses for E&S. Solid understanding of Property coverages, usage of CAT models, and actuarial assumptions. Python or R programming required. Perform actuarial analyses and makes recommendations concerning valuation/reserving, pricing, research/support, business planning, finance or other business areas. Thought partner to Specialty leadership; fosters partnerships across the North America organization to improve profitability & support growth goals. Manages or participates in studies designed to improve risk selection and pricing including but not limited to rate indications, trend analysis, CAT pricing & predictive models. Provides consultation to senior leaders and other groups on issues such as TVAR utilization, market cycle pricing, rates, and related matters, the development and use of pricing models/tools, business planning, contingency plans, or other financial studies. Identifies data requirements for analysis, tool development, reporting and decision making, ensures the organization uses it effectively. Partner with IT and Data Science Solutions to implement pricing models and understand dislocation impacts. Bachelor`s degree required Fellowship in the Casualty Actuarial Society (FCAS) designation required. Typically 0-2 years post-fellowship Proficiency in one programming language, including SAS, SQL, R or Python. Applied actuarial skills and business acumen with 7 or more years of progressively responsible actuarial experience, including coding proficiency. Solid understanding of Commercial Property and coverages, usage of CAT models, and actuarial assumptions. Strong organizational skills and ability to adapt well to the changing needs of the organization. Exceptional ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing, to all levels of management. Strong analytical skills with solid understanding of all actuarial pricing techniques, standards, and assumptions Solid interpersonal and communication skills are required to establish and build effective relationships within and outside the organization. This position requires an experienced and knowledgeable actuarial viewpoint in a wide variety of actuarial subjects, and in company, industry, and regulatory practices Ability to give effective training and presentations to senior management and other groups", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505229654", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618505370259, "name": "Actuary- Specialty Property Pricing", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "San Diego, California, United States", "Chicago, Illinois, United States", "Weatogue, Connecticut, United States"], "hot": 0, "department": "Actuarial", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1754602500, "t_create": 1751556120, "ats_job_id": "71085", "display_job_id": "2025-71085", "type": "ATS", "id_locale": "2025-71085-en", "job_description": "Responsibilities span over several product lines, including Builders Risk, Contractors Equipment and other specialty Marine products. Act as trusted advisor and direct partner to Property segment leaders & teams. Build deep expertise and insight into Marine portfolios and data. Ownership of pricing models filed rating algorithms, data and processes. Oversee annual indication & profit review process for influencing pricing levels. Provide insights necessary to support the effective use of rating models & areas of opportunity. Review, revamp and/or create rate change methods & processes for individual segments. Directly support pricing requirements for new products and coverages, including rate filings. Collaborate cross-functionally to achieve business objectives and meet field demands. Support product ratemaking, underwriting and operations with data driven analytics. Translates the vision and strategic priorities of Majors P&M into impactful projects that enable underwriters to effectively select and price risks. Develops and revises strategic and tactical plans as necessary to meet segment objectives and respond to environmental changes. Partners closely with Property Segment Support lead to influence pricing strategy & execution. Identifies data requirements for analysis, tool development, reporting and decision making Bachelor's degree required. Insurance designations desirable. Minimum 5-7 years relevant experience required. Associateship/Fellowship in the Casualty Actuarial Society (ACAS/FCAS) designation required, or comparable actuarial education combined with relevant experience. Strong analytical skills with solid understanding of actuarial techniques and assumptions. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, both verbally and in writing. Specialty Property knowledge or Marine lines experience preferred. 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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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Directly and/or indirectly leads work streams for projects involving the Major Accounts Office of Underwriting. Provides thoughtful recommendations that influence decisions, initiatives, and underwriting strategy Completes complex data gathering and analysis on drivers of performance and execution of underwriting strategies Facilitates and develops recommendations for portfolio shaping based on analysis and discussion with partners Creates and supports processes and tools to enable proactive portfolio management Establishes key performance metrics to monitor portfolio quality, volatility, price adequacy, terms, and business strategies, as well as execution against portfolio objectives Monitors and reports out on performance, deviations from plan, and insights and trends to cross-functional peers. Bachelor's degree in Business, Economics, or other quantitative field Minimum 6 years, typically 8 years or more of relevant work experience Master's degree beneficial Proficient in Excel, PowerPoint, and data analysis software (eg: SAS, Access) Portfolio experience in Underwriting, Actuarial or Finance preferred Must have good planning, organizational, analytical, decision making and communication skills Experience managing projects preferred Knowledge of Casualty products, pricing plans, underwriting rules and systems, and databases Knowledge in Property, in addition to Casualty, is a plus! Front-line transactional experience, in addition to portfolio experience, is a plus! Understanding of Insurance and Actuarial concepts and financial metrics preferred Objective and results-oriented with ability to deliver change in a complex insurance environment preferred", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618504572750", "isPrivate": false, "latlongs": "41.8781136,-87.6297982"}, {"id": 618505893331, "name": "Data Solutions Analyst", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Actuarial", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1755018720, "t_create": 1754392920, "ats_job_id": "71598", "display_job_id": "2025-71598", "type": "ATS", "id_locale": "2025-71598-en", "job_description": "Apply advanced technical skills (Python, SQL, and others) to automate and optimize complex data workflows that support reserving activities. Collaborate closely with reserving actuaries to understand business needs, identify challenges, and deliver tailored technical solutions that add value. Communicate complex technical information clearly and effectively to stakeholders across various levels, including senior management. Participate in special projects involving Robotic Process Automation (RPA), ResQ reserving software, and internal data platforms. Work closely with global teams to ensure solutions meet business requirements and promote a seamless user experience. Regularly meet with your manager to review progress, align on priorities, and seek guidance as needed. Develop tools, processes, and documentation to enhance transparency, efficiency, and stakeholder engagement across reserving and pricing teams as well as related business units. 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. 2 to 4 years experience in coding for data management, data warehousing, or other data environments, including, but not limited to, working in NoSQL implementation, ETL, Java, scripting languages (Python, Perl, Shell), and the Hadoop stack.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618505893331", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618506011775, "name": "Assistant Director, Data Science", "location": "The Woodlands, Texas, United States", "locations": ["The Woodlands, Texas, United States"], "hot": 0, "department": "Analytics", "business_unit": "0116-GRS-Actuarial-US", "t_update": 1755003720, "t_create": 1755003600, "ats_job_id": "71713", "display_job_id": "2025-71713", "type": "ATS", "id_locale": "2025-71713-en", "job_description": "Designs, develops and deploys Natural Language Processing (NLP) models and algorithms such as transformers, encoder and decoder models in projects. Enables the business to make clear trade-offs between and among choices, with a reasonable view into likely outcomes. Responsible for part of components of highly complex projects; Guide others as a technical consultant for the team. Responsible for smaller components of projects of moderate-to-high complexity. Employer will accept a Ph.D. degree (or foreign equivalent) in a Mathematics, Statistics, Physics or a related field and two (2) years of experience in the job offered or in an Assistant Director, Data Science -related occupation. Position requires demonstrable experience in the following, which can be gained in a professional or academic setting: Demonstrated knowledge with deep learning modeling and programming including PyTorch and Tensorflow. Predictive modeling, data science techniques, machine learning models and statistical methods. Deep Learning techniques including deep neural networks (DNN) and their applications. Python and R programming through hands-on experience. Computer Vision modeling expertise. Demonstrated advanced knowledge of Natural Language Processing including CNN, RNN, LSTM, Transformers and Large language models. Machine Learning expertise in building models including GLM's, Logistic Regression, Tweedie regression and XGBoost. Tableau and Power BI. MS Excel and its advanced features including Pivot tables, Lookups, Macros and MS PowerPoint. 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Intermediate-level knowledge of insurance products/coverage, underwriting, pricing, risk selection, market segments and marketplace; insurance finance and actuarial concepts; loss control/risk engineering; marketing techniques, regulatory environment and reinsurance; advanced-level knowledge of territory management. 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