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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Lead and develop a junior resource supporting CRM-enabled engagement operations, ensuring high-quality execution, analytical rigor, and consistent operational outcomes across engagement activities. Minimum of 8 years of relevant experience in relationship management, investor relations, or strategic engagement within asset management or financial services. Track record of designing and executing high-profile engagements such as multi-day forums and bespoke outings with measurable business impact. Demonstrated project management skills; ability to balance multiple engagements simultaneously with precision and attention to detail. Strong relationship management skills with the ability to develop and sustain senior-level external partnerships. Excellent communication and executive presence; comfortable representing the firm externally and engaging with senior stakeholders. Proven success in stakeholder management through cross-functional collaboration with investors, business enablement, and senior leadership. Strategic thinker with creativity and resourcefulness; able to shape differentiated engagements that stand out in a competitive market. Data orientation: experience leveraging CRM systems (preferably DealCloud or Salesforce) to drive targeting, engagement metrics, and reporting. Bachelor's degree required. 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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 insurance 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). This schedule can be expected for a minimum of 12 months before consideration for another shift. All computer equipment is provided. You must be able to maintain department. Work at home (W@H) requirements which include a professional workspace/room with a dedicated desk and wired (cable, fiber of DSL service) high-speed internet connection with a minimum 100 MBps download speed and 20 MBps upload speed. 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": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618515897095", "isPrivate": false, "latlongs": "35.2270869,-80.8431267"}, {"id": 618516800971, "name": "Actuary, Data Science, Reserving", "posting_name": "Actuary, Data Science, Reserving", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Actuarial", "business_unit": "3001-USRM-Risk Analytics-US", "t_update": 1781887800, "t_create": 1776375960, "ats_job_id": "75639", "display_job_id": "2026-75639", "type": "ATS", "id_locale": "2026-75639-en", "job_description": "Analyze & Identify - Conduct a deep dive into existing reserving workflows and analyses to identify inefficiencies, bottlenecks, and automation opportunities. Build & Automate - Design, develop, and deploy automated solutions using Python and other modern tools to replace manual, time-intensive processes. Innovate on Analytics - Elevate existing actuarial analyses through automation, enhanced data pipelines, and dynamic reporting capabilities. Collaborate Cross-Functionally - Partner with actuaries, data engineers, and IT teams to ensure solutions are scalable, sustainable, and well-integrated. Document & Educate - Build robust documentation and champion best practices, empowering the broader team to leverage and maintain automated tools. Stay Ahead of the Curve - Continuously explore emerging tools, technologies, and methodologies to keep our capabilities on the cutting edge. Hands-on reserving background - Deep familiarity with loss reserving methods, triangles, development patterns, and actuarial review cycles. Programming proficiency - Meaningful experience with Python (e.g., pandas, NumPy, openpyxl, or similar libraries) and/or other automation tools. Problem-solving mindset - Demonstrated ability to look at a complex manual process and engineer a smarter solution. Self-starter attitude - You don't wait to be told what to build next; you identify the need and get to work. Experience with workflow automation tools (e.g., SQL, VBA, R, Power Automate, or similar). Familiarity with version control systems such as Git. Exposure to data visualization tools (e.g., Power BI, Tableau, or Python-based dashboards). Experience working in an Agile or iterative development environment. Intellectually Curious - You love learning new skills and aren't afraid to venture outside your actuarial comfort zone. Driven & Motivated - You set high standards for yourself and take pride in delivering quality work. Builder Mentality - You're energized by creating things that didn't exist before and seeing others benefit from your work. Clear Communicator - You can translate complex technical concepts for both actuarial and non-technical audiences. Detail-Oriented, Big-Picture Thinker - You sweat the details without losing sight of the broader strategic goal. Bachelor's degree required; Master's degree preferred. Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) 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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Reviews lawsuit documentation and supporting documents, claims file, investigation, etc. Establish actions to be taken to resolve lawsuit. Includes determining loss coverage, amounts owed, discovery plans, setting reserves and negotiations. Establishes appropriate working team (Home Office Legal, Defense Counsel and Home Office Claims) based on allegations established in suit. Responsible for managing the practices and billing activities of outside counsel. Accountable for security of financial processing of claims, as well as security information contained in claims files. Trains and mentors staff as appropriate; manages relationships and acts as liaison with various business partners (e.g., Underwriting, Reinsurance, Etc.). Keeps abreast of existing and proposed legislation, court decisions and trends and experience pertaining to specialty coverage issues. May analyze the impact upon claims policies and procedures and advises Claims. Management so appropriate action can be taken where required. Participates in special projects. Bachelor's degree and 5 to 7 years claims adjusting experience. Advanced knowledge of Commercial Casualty claims investigation, coverage evaluation, reserving & expense management, resolution strategy, negotiation, litigation management, claims evaluation as well as the insurance legal and regulatory environment required. Intermediate to advanced level of skill in the area of customer focus, problem solving, communications, gaining support, teamwork, and adaptability and demonstrated ability to work independently, achieve results and execute thoroughly. Complex Commercial Claims, Shared Economy, significant client involvement and/or interaction experience required.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517135279", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618517245830, "name": "Senior Quantitative Analyst - Liberty Mutual Investments", "posting_name": "Senior Quantitative Analyst - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1779976980, "t_create": 1778875140, "ats_job_id": "76096", "display_job_id": "2026-76096", "type": "ATS", "id_locale": "2026-76096-en", "job_description": "Quantitative Model DevelopmentDesign and implement quantitative methods and tools for portfolio construction, performance & attribution, and investment strategies in collaboration with Portfolio Managers, Traders, and Risk Managers. Analytics & VisualizationBuild and refine analytic models, develop robust data pipelines and interactive dashboards, leveraging advanced Python, SQL, Dash and Power BI to translate complex data sets into actionable insights. Machine Learning & AI Employ statistical techniques, machine learning algorithms, and GPT-based solutions to improve market analysis, develop investment strategies, and enhance decision-making processes. Innovation & Continuous Improvement Proactively identify opportunities to upgrade capabilities and stay at the forefront of fixed-income analytics. Monitor industry trends, market developments, and new analytical tools to maintain a competitive edge. Project Coordination Oversee multiple projects simultaneously, ensuring timely delivery of high-quality results. Maintain meticulous attention to detail and effective communication throughout all stages of project execution. Numerate self-starter with a bachelor's degree in finance, Economics, Mathematics, Computer Science, Engineering, or a related field (Master's degree a plus) 3+ years of experience in portfolio analysis or investment management, with a strong preference for quantitative fixed-income experience. Must have hands-on experience with Python, SQL and familiarity with BI/visualization tools (Dash, Power BI, Jupyter Notebooks). Nice-to-have, Practical knowledge of machine learning and AI (including GPT-based models) and their applications in financial analysis. Preferred experience with BlackRock's Aladdin, Bloomberg, and Macrobond for data extraction, portfolio monitoring, and analytics. Tenacious problem-solving abilities with a focus on efficiency and effectiveness. Strong attention to detail and passion for learning. Excellent communication skills and the ability to work collaboratively in a fast-paced environment. 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Demonstrate a working understanding of complex multi-tier, multi-platform systems, and apply principles of metadata, lineage, data dependencies and hierarchy, business definitions, compliance, and data security to project work. Use critical thinking to synthesize varied requirements into actionable, flexible solutions. Design proof-of-concept solutions using an advanced understanding of financial insurance concepts and multiple coding languages to meet technical and business requirements; perform iterative testing to ensure specifications are met. Serve as a technical guide and mentor for junior associates. Manage multiple priorities while maintaining strong attention to detail and ensuring tasks are completed accurately and timely. Design and develop data solutions that enable effective self-service data consumption and clearly communicate their value to the customer. Assist stakeholders in defining metrics that are impactful to the business. Prioritize work based on customer value and demonstrate strong knowledge of Agile techniques. Foster cross-functional collaboration between business and technology teams Set expectations for deliverables of high complexity. Stay current on new technologies and apply them as needed to advance initiatives. Identify opportunities to apply Gen AI for data discovery, lineage summarization, automated documentation, general productivity (prompt engineering and code generation) Principal Data Solutions Analyst: $110,300 - $155,800. Annual FTO days (Flexible Time Off): 20 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 Senior: 3-5 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 Principal: 5-7 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/618517505827", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517539312, "name": "Sr Director I, Data Science", "posting_name": "Sr Director I, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Columbus, Ohio, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States", "New York, New York, United States", "Plano, Texas, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1781631180, "t_create": 1780596000, "ats_job_id": "76282", "display_job_id": "2026-76282", "type": "ATS", "id_locale": "2026-76282-en", "job_description": "Technical Advisory & Quality Assurance Serve as a senior technical reviewer across active modeling projects, identifying structural risks before they become production problems \u2014 including data leakage, label construction errors, distribution shift, and flawed evaluation methodology. Challenge assumptions at the design stage: scrutinize feature selection rationale, target variable definitions, train/test splits, and deployment contexts to surface gaps in problem framing. Conduct focused reviews of model documentation, validation approaches, and monitoring frameworks; provide specific, actionable feedback rather than general guidance. Recognize when a modeling approach is fundamentally misaligned with the underlying business question and redirect teams toward higher-value formulations. Mentor data scientists and senior modelers across USDS \u2014 providing technical expertise, business acumen, and systems thinking in roughly equal measure. Help develop the broader DS community's shared standards: code review practices, modeling documentation norms, reproducibility expectations, and peer review culture. Model intellectual rigor and intellectual humility: demonstrate what good technical judgment looks like, especially in the face of ambiguity or organizational pressure to move fast. Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others. Exchanges ideas and conveys complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which they interact up to and including SBU/Corp Dept leadership. Exceptional interpersonal and communication skills required to establish and build effective relationships within and outside the aligned functional area and client group. Ability to give effective training and presentations to all levels of the organization. Interacts with senior executives. Demonstrated ability to anticipate areas of senior management concern, integrate different perspectives, and respond accordingly. Deep knowledge of business drivers and market context. Deep understanding of insurance operations and the procedures of Financial, Underwriting, Claims, Statistical, Information Technology, Legal and Sales departments. Utilizes significant business experience and judgment to direct work of unit and communicate results. Has a value-driven perspective with regard to understanding of work context and impact Competencies typically acquired through a PhD degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and 8 years of relevant experience, a Master`s degree (scientific field of study) and 10 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and 14 years of relevant experience. 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Annual FTO days (Flexible Time Off): 20 Minimum of 6-8 years relevant work experience required for Assistant Director level Minimum of 7-10 years relevant work experience required for Director I level Expert skills in Excel and PowerPoint Must have exceptional planning, analytical, decision-making, communication, and project management skills Understanding of commercial insurance concepts, underwriting process, and financial metrics Self-starter who takes the initiative to lead their own projects and can set a vision Ability to manage high degrees of complexity and ambiguity Strong collaboration / relationship-building skills", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517552112", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618514938881, "name": "Director, Finance Carry Plan Administrator - Liberty Mutual Investments", "posting_name": "Director, Finance Carry Plan Administrator - Liberty Mutual Investments", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "New York, New York, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1781534400, "t_create": 1768592520, "ats_job_id": "74147", "display_job_id": "2026-74147", "type": "ATS", "id_locale": "2026-74147-en", "job_description": "Fund-Level Calculations & Pool Management Own and maintain carried interest calculations at the fund level, ensuring accuracy and compliance with plan rules. Determine carry-eligible investments based on fund structures, performance, and governing documents. Maintain aggregate pool size calculations to inform Compensation and senior leadership on allocation decisions. Develop and implement controls to ensure data integrity and consistency in carry reporting. Prepare fund-level investment summaries and carry pool analyses for Investment Advisory Committee (IAC) or equivalent governance bodies. Support the governance framework by ensuring documentation and policies align with market practices and regulatory requirements. Support execution of carry distributions in accordance with plan schedules and governing rules. Provide timely and accurate financial data to Compensation and senior leadership for payout approvals. Contribute to the development of participant-level reporting, ensuring transparency and clarity for program participants. 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