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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Partner with quantitative analysts and portfolio strategists to convert AI-generated prototypes and research artifacts into robust, production-ready applications. Build and maintain data pipelines for portfolio and market data across public and private markets, leveraging the LMI data ecosystem. Contribute to the team's shared quantitative library, supporting both existing and new models, analytics, and reusable components. Support and extend existing applications and dashboards in production, and drive the design and implementation of new ones to meet evolving research and decision-support needs. Excellent problem-solving and analytical skills, with the ability to think critically, independently, and act with minimal handholding Effective communication skills, with the ability to clearly articulate complex ideas and analysis to both technical and non-technical stakeholders. Strong attention to detail, organization, and the ability to manage multiple tasks and priorities in a fast-paced environment. Full-stack development knowledge with a minimum of 5 years professional experience programming in Python demonstrating the ability to write efficient and robust code able to process and analyze large financial datasets. Experience with key Python Libraries (pandas, NumPy) required Experience in front-end development and user experience (UX) design required; experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash) preferred. Experience using Version Control (Git) required. Experience using Agentic Programming tools (Github Copilot, Claude) required. Experience developing applications for investment management firms or, more broadly, financial services is a strong plus. Strong SQL skills required. Familiarity with financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques strongly preferred. Strong quantitative background required, with hands-on experience applying statistical, time-series, and optimization techniques using Python libraries (e.g., SciPy, Scikit-Learn, cvxpy, statsmodels) to portfolio construction and asset allocation problems. Deep understanding of investment management and portfolio composition strategies, with knowledge across asset classes including fixed income, public and private equity, and private credit. Demonstrated experience applying quantitative methodologies (including optimization, factor modeling, risk decomposition, and econometrics) to support portfolio construction, asset allocation, and investment decisions. Demonstrated ability to partner with business teams to convert AI-generated artifacts (e.g., prototypes, proofs of concept) into production-ready applications. Experience bridging the gap between rapid AI-developed prototypes to quality full-stack applications is highly valued. Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools. Master's or Ph.D. (or equivalent experience) in a quantitative or engineering field such as Computer Science, Mathematics, Statistics, Econometrics, Financial Engineering, or a related discipline. Eight or more years of software engineering experience A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517331003", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"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"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1784257800, "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. Demonstrated interest in investments and a desire to delve into the intricacies of fixed-income markets.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517245830", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618513890386, "name": "Associate, Risk Management - Liberty Mutual Investments", "posting_name": "Associate, Risk Management - 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": 1784130960, "t_create": 1761155700, "ats_job_id": "72799", "display_job_id": "2025-72799", "type": "ATS", "id_locale": "2025-72799-en", "job_description": "Overseeing and advancing LMI's risk management framework Develop and/or enhance risk models and the risk framework to effectively manage risks and to improve risk management capabilities. This will involve data analysis and applying statistical and econometric theories. Prepare monthly and quarterly portfolio risk review material, as well as providing ad hoc portfolio and risk analysis as necessary. Monitoring global market developments and identifying major risks to our portfolio Relating market conditions, industry and regulatory developments to investment execution A degree in Computational Finance, Economics, or technical field and 3-5 years of relevant work experience is required. A graduate degree would be a plus. A strong quantitative background, including statistics, computational or numerical simulation methods, and econometrics Programming experience in dynamically typed languages, including Python, Excel VBA, SQL Familiarity with generative AI models Demonstrated capability to drive projects to successful completion through cross-functional collaboration Must be a self-starter with ambition and intellectual curiosity, as well as exceptional problem- solving skills, strategic thinking Knowledge of various types of investments and their characteristics, including equities, fixed income investments, real estate/real assets and alternative investments Familiarity with Bloomberg, Aladdin and other standard financial databases and tools preferred Ability to work independently as well as thrive in a team environment A passion for risk management and a desire to learn about the field Strong communication/interpersonal skills, and the ability to interact with a variety of investments and support professionals", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618513890386", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517740211, "name": "Underwriting Risk Modeler or Capital Modeler- Commercial Lines", "posting_name": "Underwriting Risk Modeler or Capital Modeler- Commercial Lines", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "3046-GRS-Global Risk-US", "t_update": 1784835720, "t_create": 1781549700, "ats_job_id": "76414", "display_job_id": "2026-76414", "type": "ATS", "id_locale": "2026-76414-en", "job_description": "Collaborate with other team members to achieve the following goals. Parameterize UW Risk excluding natural catastrophe risk Build and maintain UW risk models and output exhibits Develop new solutions and improvements for statistical models and processes used to calculate these inputs Maintain clear and concise documentation of methods and activities Implement timely and practical solutions to complex problems Validate model parameterization and model function Collaborate with Underwriting and Actuarial to understand the business and guide development of Risk Analytics tools that accurately reflect the business Communicate processes and parameterization results to stakeholders outside of the team Bachelor's degree or higher in Mathematics, Actuarial Science, Statistics, Finance, Economics, or similar required Minimum 5-7 years relevant experience required Very 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 Competencies typically acquired through a Bachelor`s degree in a quantitative field Advanced degree (MBA) and/or professional qualification in one or more areas of risk management is preferred, and 8 to 10 years of relevant experience Additionally, excellent quantitative analysis and modeling skills are required, in addition to significant experience in an analytical capacity (financial analysis, product management, actuarial, underwriting, etc) Working knowledge of ERM-related regulatory frameworks (Solvency II, NAIC ORSA, ComFrame) is a plus Very strong understanding of the risk characteristics of insurance industry required Excellent 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Management Guide the Property line P&L within the Small Commercial portfolio, partnering with State teams to monitor performance, identify trends, and deliver actionable recommendations that drive profitability and growth Lead moderate to highly complex analyses evaluating product and contract performance, translating findings into clear tactical and strategic recommendations Build new Property products, enhance and iterate on in-market Property products Serve as the primary point of contact for Property-focused analytics, including ad hoc and formal analysis of key business metrics Contribute directly to new product concepts and Property product strategy Lead and develop a team of four, fostering a culture of curiosity, analytical rigor, and continuous growth Lead cross-functional workstreams on medium to long-term, moderate to high complexity projects Build scalable tools and repeatable processes for use across cross-functional partners and analysts Develop and deliver executive-level presentations to senior stakeholders, including Small Commercial leadership and the Chief Product Officer Champion knowledge sharing through mentorship, training materials, and formal development sessions A passion for people leadership, with a proven ability to cultivate an inclusive, engaging team environment where individuals are empowered to grow, collaborate, and do their best work Bachelor's degree in Insurance, Business, Finance, Economics, Statistics, or a related quantitative field 6+ years of experience in commercial insurance product management, underwriting, or strategy, with demonstrated Property line expertise Proven track record of guiding P&L outcomes for a Property or related commercial insurance line Strong working knowledge of Small Commercial products, including Property and BOP Advanced proficiency in Excel and PowerPoint Proficiency in data tools such as SAS, SQL, Snowflake, and/or Power BI Exceptional planning, analytical, communication, and 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Masters, PhD, or equivalent helpful given quantitative work they are leading. Minimum of 7, typically 10 years or more relevant work experience. Expert skills in Excel, PowerPoint, and statistical software packages (e.g., SAS, Emblem). Must have exceptional planning, analytical, decision-making, communication, and project management skills. Expert knowledge of data sources, tools, and the business (lines, systems, pricing plans), predictive modeling, and code (e.g., SQL). Significant understanding of competitors' pricing strategies and relationship to our own. Industry knowledge developed from internal meetings, news alerts, project-specific work, and proactive research into competitor strategies.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517897496", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618517362755, "name": "Personal Lines Senior Territory Manager", "posting_name": "Personal Lines Senior Territory Manager", "location": "Burlington, Massachusetts, United States", "locations": ["Burlington, Massachusetts, United States", "Danvers, Massachusetts, United States", "Cambridge, Massachusetts, United States", "Bedford, Massachusetts, United States", "Beverly, Massachusetts, United States", "Westborough, Massachusetts, United States", "Revere, Massachusetts, United States"], "hot": 0, "department": "Sales - General", "business_unit": "3040-USRM-Distribution & Marketing-US", "t_update": 1782241440, "t_create": 1779803520, "ats_job_id": "76170", "display_job_id": "2026-76170", "type": "ATS", "id_locale": "2026-76170-en", "job_description": "Own and manage an assigned territory, driving profitable growth in alignment with financial and operational goals. Lead all aspects of agency management, including prospecting, onboarding, business planning, engagement, training, and optimization. Build and maintain strong, in-person relationships with agency owners, leaders, and frontline teams. Act as a trusted advisor by delivering product expertise, underwriting appetite guidance, system training, and support for retention and new business growth. Develop and execute territory and agency strategies to achieve direct written premium, profitability, and new business objectives. Ensure high-quality new business flow, appropriate book mix, and effective risk management across the territory. Partner closely with underwriting, product management, claims, and risk control to identify opportunities, resolve issues, and share market and competitor insights. Collaborate with Personal Lines and Business Lines counterparts on shared agency relationships to ensure a coordinated approach. Leverage internal data, tools, and programs to drive agency performance, production, and profitability. Provide leadership, mentoring, and thought partnership to peers while contributing to continuous improvement initiatives. Experience managing independent insurance agencies within Personal Lines (property and casualty strongly preferred). Proven success driving profitable growth, new business development, and agency performance within a defined territory. Strong understanding of underwriting principles, risk selection, and portfolio management. Demonstrated ability to influence and collaborate with cross-functional partners without direct authority. Experience developing and executing strategic business or territory plans. Strong consultative selling, relationship-building, and presentation skills. Ability to analyze performance data and translate insights into actionable strategies. Willingness to travel regularly within the assigned territory. Bachelor`s Degree or equivalent industry experience. Minimum six years of progressively more responsible insurance sales and management work experience. Advanced knowledge of company services, products, marketing techniques, insurance contracts, risk funding and rating plans, and industry trends. Proven track record of revenue growth and sales success in a prior role. Proven success in developing and building partnerships, decision making and problem solving. Advanced knowledge of the business including production management, claims, loss prevention, underwriting, administration, sales operations and agency business operations. Highly effective written and oral communication skills, including presentation, persuasion, timing, tact and negotiation skills. High degree of customer focus, interpersonal relationship skills and problem solving. Advanced analytical thinking, business analytics and business development skills. Strong time management and team orientation skills. Well versed understanding of marketing principles. Must be licensed by the state if required. Ability to travel daily with occasional overnight travel. 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You bring deep knowledge of technology supply markets, supplier ecosystems, commercial models, pricing structures, licensing constructs, and emerging technology trends. You are a confident and credible spokesperson for Procurement, with a proven ability to partner with senior technology leaders, business executives, finance, legal, and risk stakeholders. You know how to align procurement strategies with enterprise technology roadmaps and transformation priorities, and you can influence, challenge, and defend recommendations at the highest levels. AI-First Mindset You lead with an AI-first orientation and have hands-on experience applying AI to strengthen category strategies \u2014 from spend analysis and market intelligence to supplier evaluation and negotiation preparation. You are passionate about championing adoption, upskilling teams, and embedding AI-enabled ways of working across category management and sourcing execution. Sourcing & Negotiation Excellence You have a track record of leading complex supplier negotiations and strategic sourcing initiatives, including enterprise agreements, renewals, supplier consolidation, commercial optimization, and risk mitigation across high-value technology spend. You are an inspiring leader who builds, coaches, and empowers high-performing teams. You instill a culture of accountability, ownership, and sound decision-making while creating an environment where people can do their best work. Analytical & Commercial Acumen You bring very strong analytical, financial, and commercial skills \u2014 including experience evaluating total cost of ownership, demand management opportunities, supplier performance, and overall business value. Communication & Executive Presence You communicate with clarity, confidence, and conviction. You are a skilled presenter and influencer who can engage effectively at all levels of the organization. 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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;}