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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Executes post-sale account management workflow, including initiation of billing, policy issuance, acquisition of account agreements and file documentation. Initiates pre-renewal communications via conditional/non-renewal notice draft when necessary. Supports the underwriter with mid-term account reviews / stewardship, ongoing service, service planning and endorsements. Must be knowledgeable with Microsoft Office - Word, Excel, and Outlook. Capabilities include critical thinking/problem solving, decision making, customer focus, detail orientation, written/verbal communications, organization, adaptability, courtesy, dependability, and ability to learn/apply new information quickly and accurately. Knowledge, skills, and capabilities typically acquired through 2 or more years of related work experience. 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Collaborates with Product owners to evaluate and monitor product releases through A/B tests and quantitative analyses. Assists with prioritization of data requirements/data strategy to enhance or create new data to enable the business to make future business decisions. Identify opportunities and implement improvements to current processes and tools to automate and deliver impactful analyses. Meets with supervisor to discuss project status and present recommendations performs special projects as requested. Mentor junior analysts and support team culture and development. Bachelor's Degree plus a minimum 3 years of experience, or equivalent, is required. Mathematics, Economics, Statistics or other quantitative field are preferred fields of study. Knowledge of data sources, tools and common statistical principals. Ability to analyze and present data, visually and verbally, to guide conversations with business leaders. Ability to build analytic tools that will be used by business teams to analyze results and opportunities. SAS/SQL experience required, Snowflake experience preferred. 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Collaborate with Casualty and Cross Lines Pricing Teams on tools used by Underwriting. Assist in the preparation of actuarial research and complex reports and studies; Communicate and present findings and exhibits to peers, functional leadership, and business leaders. Provide clear and concise communication of technical work to technical and non-technical audiences, and on cross functional teams. Work with underwriting to provide account level support. Maintain clear and concise documentation of methods and activities. Retrieve, understand, and manipulate data as it relates to assigned and related projects. Build tools that enhance pricing and influence underwriting strategy. Support account segmentation exercise (may vary by segment/industry). Assist in rate filings as needed by each segment. 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 Fellowship 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. 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Collaborate with Casualty and Cross Lines Pricing Teams on tools used by Underwriting. Assist in the preparation of actuarial research and complex reports and studies; Communicate and present findings and exhibits to peers, functional leadership, and business leaders. Provide clear and concise communication of technical work to technical and non-technical audiences, and on cross functional teams. Work with underwriting to provide account level support. Maintain clear and concise documentation of methods and activities. Retrieve, understand, and manipulate data as it relates to assigned and related projects. Build tools that enhance pricing and influence underwriting strategy. Support account segmentation exercise (may vary by segment/industry). Assist in rate filings as needed by each segment. Bachelor's degree in business, economics, or other quantitative field. Minimum 2 years, typically 3 years or more of relevant experience. Proficient in Excel, PowerPoint, and data analysis software (e.g., SAS, Access). Must have good planning, organizational, analytical, and decision making. 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. 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Work under limited direction from manager on more complex tasks. Assist in the preparation of actuarial research and complex reports and studies; Communicate and present findings and exhibits to peers, functional leadership and business leaders. Build tools that enhance pricing and influence underwriting strategy. Provide clear and concise communication of technical actuarial work to technical and non-technical audiences, and on cross functional teams. Retrieve, understand and manipulate data as it relates to assigned and related projects. Maintain clear and concise documentation of methods and activities. Provide training to underwriters on pricing models, profitability metrics, and other actuarial topics as needed. Work with underwriting to provide account level support. Collaborate with Casualty and Cross Lines Pricing Teams on tools used by Underwriting. Provide guidance and training to less experienced staff. Support account segmentation exercise (may vary by segment/industry). Assist in rate filings as needed by each segment. 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. Advanced computing skills (MS Office Excel, SAS, etc.); Ability to build models of moderate complexity.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502324289", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618502413454, "name": "Senior Analyst, Product Research, Auto Product Design", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Analytics", "business_unit": "3043-USRM-PL Auto Product-US", "t_update": 1738873200, "t_create": 1738337340, "ats_job_id": "68486", "display_job_id": "2025-68486", "type": "ATS", "id_locale": "2025-68486-en", "job_description": "Intellectually curious - excited to solve complex problems and identify new opportunities. Analytical and technical - able to gather, interpret, and evaluate data across multiple sources, with working experience in SAS, SQL, Python or R. Self-driven with strong organizational skills and proactive follow through. Collaborative and engaged in contributing to a dynamic and inclusive team culture - on our team and across partner teams. Experienced with product management and project management. Bachelor's degree in mathematics, economics, statistics, or other quantitative field. Minimum 3 years relevant work experience, typically 4 years. Strong proficiency in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). Must have strong planning, organizational, analytical, decision making and communication skills. Analytics - Conducts moderate to high complexity analysis under general direction, including technical and analytical assessments of product features developed by querying data. Research - including competitive intel, external research, and research obtained by partnering with market research teams and other functional areas. Project Management; leads own moderately complex projects independently, partnering with IT, Delivery, and other functional areas to design and implement changes. Synthesize research and analysis into actionable recommendations that impact go-forward product design. Presents recommendations to Product leadership and cross-functional leadership teams. Serve as ad hoc resource for less experienced analysts. Occasionally mentors' others as requested.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502413454", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618501998330, "name": "Senior Actuarial Analyst, Personal Auto Liability Reserving", "location": "Seattle, Washington, United States", "locations": ["Seattle, Washington, United States", "Remote, Remote, United States", "Boston, Massachusetts, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1738868160, "t_create": 1735834740, "ats_job_id": "67958", "display_job_id": "2025-67958", "type": "ATS", "id_locale": "2025-67958-en", "job_description": "Own the quarterly reserve review for assigned Personal Auto Liability coverage(s) and communicate results to Senior Management Partner with stakeholders in Claims, Trends, and Product to understand impact from internal and external factors on reserves, loss development patterns, and trends Monitor and analyze USRM and industry trends to ensure reserve estimates incorporate the impact of ongoing changes in the legal and operational environment Execute deep-dive analyses on Personal Auto Liability segment(s) to uncover impactful analytics and insights Build and improve on existing diagnostics to effectively and efficiently execute on quarterly reserve reviews Explore and develop technical skills to improve analytics sophistication (SAS, PowerBI, etc.) Champion innovation and continuous improvement efforts within USRM Actuarial Reserving, as well as across SBUs 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. Advanced computing skills (MS Office Excel, SAS, etc.); Ability to build models of moderate complexity.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618501998330", "isPrivate": false, "latlongs": "47.6061389,-122.3328481"}, {"id": 618502503969, "name": "Analyst I, Data Science", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Data Science", "business_unit": "0014-Global Legal & Compliance-US", "t_update": 1739311860, "t_create": 1738956660, "ats_job_id": "68615", "display_job_id": "2025-68615", "type": "ATS", "id_locale": "2025-68615-en", "job_description": "Develop predictive and explanatory AI solutions that help improve legal decision making using deep learning, machine learning, NLP (Natural Language Processing), and/or generative AI techniques Applies data science techniques to manipulate large structured and unstructured data sets in order to generate insights and model predictions to inform business decisions Translates quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view and a valuable interpretation of the data Gains experience in enabling the business to make clear tradeoffs between choices, with a reasonable view into likely outcomes Executes all aspects of analytic initiatives, including developing project plans and collaborating with others Solid knowledge of predictive analytics techniques and statistical diagnostics of models Demonstrated proficiency in Python Advanced 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 Ability to effectively self-manage longer-term efforts by establishing and adhering to project milestones and deadlines Competencies typically acquired through a Master's degree (scientific field of study) and 0-1 years of relevant experience or a Bachelor's degree (scientific field of study) and 3+ years of relevant experience Understanding of MLOps principles to aid in development and deployment of efficient, robust, and repeatable work products Experience applying machine learning, deep learning, and/or NLP techniques, especially using Hugging Face, generative AI, and sci-kit-learn on large, unstructured data Experience working with insurance, claims, or legal data", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502503969", "isPrivate": false, "latlongs": "42.3600825,-71.0588801"}, {"id": 618499967215, "name": "GRS Claims Specialist Training Program- 2024-25", "location": "Rocklin, California, United States", "locations": ["Rocklin, California, United States", "Lake Oswego, Oregon, United States", "Plano, Texas, United States"], "hot": 0, "department": "Claims", "business_unit": "3026-GRS-North America-US", "t_update": 1738868040, "t_create": 1724445420, "ats_job_id": "65879", "display_job_id": "2024-65879", "type": "ATS", "id_locale": "2024-65879-en", "job_description": "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. Description Claims Specialist Training Program Are you looking to help people and make a difference in the world? Have you considered a position in the fast-paced, rewarding world of insurance? Yes, insurance! Insurance brings peace of mind to almost everything we do in our lives--from family trips to your first car to weddings and college graduations. As a valued member of our claims team, you'll help our customers get back on their feet and restore their lives when catastrophe strikes. The details When you're part of the Claims Specialist Training Program, you'll acquire various investigative techniques and work with experts to determine what caused an accident and who is at fault. You'll independently manage an inventory of claims, which may include conducting investigations, reviewing medical records, and evaluating damages to determine the severity of each case. You'll resolve cases by working with individuals or attorneys to settle on the value of each case. You will have required comprehensive training, one-on-one mentoring, and a strong pay-for-performance compensation structure at a global Fortune 100 company. Make a difference in the world with Liberty Mutual. Qualifications What you've got You have 0-2 years of professional experience. You hold a bachelor's degree with a minimum 3.0 cumulative GPA. You have an aptitude for providing information in a clear, concise manner with an appropriate level of detail, empathy, and professionalism. You possess strong negotiation and analytical skills. You are detail-oriented and thrive in a fast-paced work environment. You must have permanent work authorization in the United States. What we offer Competitive compensation package Pension and 401(k) savings plans Comprehensive health and wellness plans Dental, Vision, and Disability insurance Flexible work arrangements Individualized career mobility and development plans Tuition reimbursement Employee Resource Groups Paid leave; maternity and paternity leaves Commuter benefits, employee discounts, and more Learn more about benefits at www.benefitsatliberty.com. A little about us As one of the leading property and casualty insurers in the country, Liberty Mutual is helping people embrace today and confidently pursue tomorrow. We were recognized as a '2018 Great Place to Work' by Great Place to Work US, and were named by Forbes as one of the best employers in the country for new graduates and women--as well as for diversity. 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. About Us 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 proud to support a diverse, equitable and inclusive workplace, where all employees feel a sense of community, belonging and can do their best work. Our seven Employee Resource Groups (ERGs) offer a centralized, open space to bring employees and allies together to connect, learn and engage. 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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