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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Systems-level engineer: Working hand-in-hand with your business partners, you'll develop technical requirements and design robust and flexible product and system architectures Forward thinker: Leading by example, you'll promote a culture of continuous improvement by finding solutions that increase efficiency, accelerate the adoption of new technologies and enhance profitability Ten years of related software engineering experience Investments domain knowledge (alternatives and private credit preferred) A comprehensive understanding of agile environments Extensive knowledge of contemporary frameworks and emerging technologies A history of practicing DevOps and SecOps A strong background in business operations and strategies, including knowledge of global business, technology trends and the financial services industry Proficient in programming languages (e.g. Python, React), actively involved in writing code, debugging, testing, and deploying cloud native (AWS) software applications. Solid negotiation, facilitation, consensus building and influencing capabilities Ability to identify patterns and problems across teams and deliver effective solutions Openness and adaptability to respond to fast-moving circumstances A design thinking and test-driven development mindset Excellent oral and written communication skills, and an aptitude for working in teams Strong background in code review Familiarity with event-based System of Engagement architectures and integration with API exposing microservices Deep understanding of layered solutions and designs Cognizance of security concerns, from access control and authentication to secured SDLC processes Understanding of DCI/MDM systems, data ingestion and cloud-scale data sets 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/618501422983", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503851208, "name": "Analyst, Securitized Products - 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": 1745338620, "t_create": 1745338200, "ats_job_id": "69912", "display_job_id": "2025-69912", "type": "ATS", "id_locale": "2025-69912-en", "job_description": "Assist in evaluating opportunities across the structured products markets, including ABS, CLOs, CMBS, and RMBS, by working closely with senior analysts, traders, and portfolio managers to assess relative value across the capital stack. Contribute to the formulation and presentation of high-conviction investment ideas for both sector allocation and security selection to enhance risk-adjusted returns. Collaborate with trading, research, and risk teams to support the execution of LMI's securitized investment strategies, ensuring alignment between market views, portfolio positioning, and risk management objectives. Partner with portfolio managers and traders to help implement investment strategies and support communication of views and positioning to senior leadership and other key stakeholders. Apply analytical techniques to large datasets, assisting in the development and maintenance of cash flow models to evaluate prepayment behavior, credit risk, and asset performance. Participate in investment due diligence and support the ongoing monitoring of existing positions to identify emerging risks and performance drivers. Contribute to the development and enhancement of tools, models, and systems to improve investment analysis and portfolio management. Leverage data and technology to drive process efficiency and deeper insights. Begin building relationships with market participants, including issuers, rating agencies, bankers, and institutional investors, to stay up to date on market developments and uncover new investment opportunities. Bachelor's degree in Finance, Economics, Mathematics, Engineering, or a related field. Advanced degrees or professional certifications (such as the CFA) are a plus. 1-3 years of relevant professional experience in investments, finance, or data analysis. Prior experience in fixed income or structured products is a strong plus. Strong analytical and quantitative skills with experience in financial modeling and data analysis. Advanced Excel skills are required. Familiarity with Python, SQL, or other data tools is a plus. Demonstrated interest in fixed income markets and structured finance.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503851208", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618502289518, "name": "Senior Valuation Analyst, Transaction Services - 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": 1741699320, "t_create": 1737574620, "ats_job_id": "68343", "display_job_id": "2025-68343", "type": "ATS", "id_locale": "2025-68343-en", "job_description": "Maintain and enhance valuation models for LMI's portfolio of alternative investments, including private credit (asset-based lending, lower/middle market direct lending, high yield, and structured products), private equity, partnership interests, joint ventures, real estate, options, warrants, and other derivative products. Collaborate closely with external valuation partners to ensure that critical reporting deadlines and deliverables are met in accordance with service agreements. Prepare comprehensive valuation memoranda and supporting documentation for presentation to the LMI Valuation Committee on a quarterly basis. Coordinate with internal and external auditors to ensure thorough documentation of valuation-related procedures and controls. Provide ad hoc advisory services to senior management related to portfolio monitoring, new investment strategies, asset acquisitions, divestitures, and restructurings. Establish and maintain strong collaborative partnerships with LMI investment teams, Corporate Finance, external valuation partners, external auditors, and internal stakeholders. Bachelor's degree in Accounting, Finance, or Business required. 2-3 years of relevant work experience, including experience in a valuation capacity at a professional services/Big 4 firm or investment management firm. Demonstrated progress towards achieving the CFA designation or CPA credential. Proficient in financial modeling and valuation techniques, including discounted cash flow analysis, recovery/liquidation analysis, financial statement review, credit monitoring, and market data analysis. Experience in identifying valuation issues, conducting research, and presenting solutions while leveraging a solid understanding of complex financial instruments and valuation concepts. In-depth knowledge of fair value measurement and CECL allowance standards. Strong interpersonal skills with effective oral and written communication capabilities. Ability to collaborate effectively across varying experience levels in a team environment.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618502289518", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503433709, "name": "Platform Owner, S&P Global Systems - Investments Technology", "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": 1744121220, "t_create": 1743777360, "ats_job_id": "69593", "display_job_id": "2025-69593", "type": "ATS", "id_locale": "2025-69593-en", "job_description": "Develops deep platform expertise and partners with vendors to understand and influence platform strategy and direction Builds relationships with Product Owners and end users and develops understanding of business strategy, needs, priority Synthesizes business needs and platform strategy and capability to inform platform roadmap, prioritization with aligned Product Teams; influences roadmaps for aligned Products Partners with vendors to develop metrics to measure SLAs, functionality usage and adoption Keeps current with evolving technologies and vendor platforms; drives periodic formal assessments of platform landscape and analysis of current platform fit for purpose Accountable for understanding user needs across business units, connection points, relative priority and overall business value measurement Builds strong partnerships with Engineering Managers to enable technology efficiencies around data, system functionality, technology infrastructure Accountable to senior leadership for overall health, alignment, usage, resiliency of platforms Drives platform guilds; leads and/or participates in user community groups across industry High level of proven business expertise needed to inform product priorities aligned to platform and understand business value impacts. Advanced knowledge of Investment systems, prior experience with S&P EDM or other investment enterprise/master data management systems, WSO loan systems/data, and related IBOR/ABOR ecosystems strongly preferred. Master`s degree and CFA designation preferred. High level of proven business expertise needed to inform product priorities aligned to platform and understand business value impacts. Advanced knowledge of Agile development methodologies as typically acquired through a Bachelor`s s degree in relevant field (business, computer science, humanities etc.) and a minimum of 10 years direct experience with Agile teams as well as 7 years in business, technology, or consulting High level of proven business expertise needed to set clear priorities for product and understand business value impacts Develops strong stakeholder relationships and influencing across multiple organizational boundaries Demonstrated experience leading varied audiences through the development of complex ideas, issues and designs Ability to lead varied audiences through census building Strong influencing skills", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503433709", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503834202, "name": "CLO Trader - 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": 1745242140, "t_create": 1745182740, "ats_job_id": "69874", "display_job_id": "2025-69874", "type": "ATS", "id_locale": "2025-69874-en", "job_description": "Investment Sourcing: Utilize capital markets relationships to lead the sourcing of CLO investments in primary and secondary markets across the capital stack that are consistent with portfolio objectives and current strategy. Relative Value Trading: Leverage expertise in structured finance and quantitative methods to identify and execute relative value trading opportunities that will add trading-based alpha to the CLO and Structured Products portfolios. Strategy Development: Provide market-driven insights to propose specific and actionable recommendations for short and long-term portfolio tilts. Investment Analysis: Collaborate with the CLO team to perform deep manager, deal and portfolio analysis on existing and potential investments; in particular, providing insight into how market risks may offset or compound fundamental risks. Market Intelligence: Develop and maintain relationships with brokers, CLO issuers and other structured products trading desks to stay current on market activity and trade flows. Portfolio Surveillance: As a part of the CLO team, present market updates, portfolio analysis and trade rationales to senior management. Grow exposure to other asset classes: The role will also provide the opportunity to grow the candidate's skillset by providing additional trading support to the Structured Products team for ABS and other structured assets. Educational Background: Bachelor's degree in finance, Economics, or related field; CFA, MBA, or other relevant certifications preferred. 5-8+ years of experience in CLO or structured products trading with a focus on relative value opportunities and credit analysis. Strong background in CLO structures, with cross-sector knowledge in other securitized products such as ABS, RMBS, and CMBS a plus. Expertise in financial modeling and cash flow analysis for structured products. Proficiency in trading platforms and financial data providers (e.g., Bloomberg, Intex, S&P Capital IQ). Advanced Excel skills; experience with programming languages (Python, VBA) is a plus. Strong analytical skills, with the ability to identify and act on relative value opportunities. Excellent communication and interpersonal skills, particularly in collaborating with portfolio management teams and articulating trade ideas.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503834202", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503735882, "name": "Senior Director, Mergers & Acquisitions", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1745348700, "t_create": 1744981140, "ats_job_id": "69836", "display_job_id": "2025-69836", "type": "ATS", "id_locale": "2025-69836-en", "job_description": null, "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503735882", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503730164, "name": "Dir I, Data Solutions", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Portsmouth, New Hampshire, United States"], "hot": 0, "department": "Finance & Accounting", "business_unit": "0022-Corporate Finance-US", "t_update": 1745331300, "t_create": 1744921680, "ats_job_id": "69828", "display_job_id": "2025-69828", "type": "ATS", "id_locale": "2025-69828-en", "job_description": "Lead an analysis team to standardize financial data across domains. Drive delivery of data management products partnering with Global Finance Technology data engineering teams. Create standards and best practices to track and document the data transformations from source to target. Create and share metrics to track progress and show customer value across all stakeholders. Leads a team to use best practices and iterative testing to ensure requirements are met. Acts as a technical resource and mentor for staff. Works with stakeholders in defining metrics that are impactful to the business. Prioritizes efforts based on customer value. Manage projects and collaborate with stakeholders to ensure effective project execution. Acts as a change agent across the organization. Leads the team in effectively transferring knowledge via documentation and process management. Creates roadmaps for data solutions. Turns vague ideas or problems into a data product strategy. Influences strategic thinking across the team and the broader organization. Ensures data solutions include activities and deliverables required to achieve high data quality. Bachelors Degree in business or data discipline At least 3-5 years of insurance background required, financial background a plus Strong analytical and relationship skills as we work across business, IT, and corporate stakeholders on complex insurance product models 7-10 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 Able to identify stakeholder and customer pain points and strategically address those concerns Able to describe value and influence the prioritization of data solutions Able to organize and balance resources to address customer pain points Guides a team to break down data issues and resolve them, by prototyping data solutions to meet the needs of both the organization and business customers Strong written and oral communication skills required", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503730164", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618503484854, "name": "Assistant Director, Data Science", "location": "Remote, Remote, United States", "locations": ["Remote, Remote, United States", "Remote, Remote, United States", "Seattle, Washington, United States", "Boston, Massachusetts, United States", "Plano, Texas, United States", "Portsmouth, New Hampshire, United States", "Columbus, Ohio, United States"], "hot": 0, "department": "Data Science", "business_unit": "3030-USRM-Insights & Solutions-US", "t_update": 1745247720, "t_create": 1744136700, "ats_job_id": "69653", "display_job_id": "2025-69653", "type": "ATS", "id_locale": "2025-69653-en", "job_description": "Mine large datasets using sophisticated analytical techniques to generate insights and inform business decisions Independently build and interpret complex UW models for Property & Specialty, incorporating learnings from other lines of business as appropriate Explore and utilize advanced modeling techniques and strategies to improve model sophistication Collaborate with Underwriting Effectiveness, State Management, IT, and other business partners to help implement new UW models Enable the business to make clear tradeoffs among choices, with a reasonable view into likely outcomes. Understand the competitive marketplace, business issues, and data challenges to deliver actionable insights, recommendations and business processes Effectively communicate results in written, oral, and presentation formats Act as a mentor and help develop less experienced analysts on the team Regularly engage with the data science community and lead cross functional working groups. Drive innovation in the application and development of tools and practices. Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU. Ability to give effective training and presentations to peers, management and less senior business leaders. Ability to use results of analysis to persuade team or department management to a particular course of action. Has a value driven perspective with regard to understanding of work context and impact. Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618503484854", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618503086991, "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": 1742411820, "t_create": 1742411460, "ats_job_id": "69347", "display_job_id": "2025-69347", "type": "ATS", "id_locale": "2025-69347-en", "job_description": "Quantitative Model Development Design and implement quantitative methods and tools for portfolio construction, performance & attribution, and investment strategies in collaboration with Portfolio Managers, Traders, and Risk Managers. Analytics & Visualization Build 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. 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. 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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(max-width:989px){#advanced_menu_toggle[data-av_icon]:before{font-size:30px;font-weight:normal;font-family:'FontAwesome'!important;} #advanced_menu_toggle{border-width:0px;} .container{padding:0 30px;} .responsive .logo{padding-top:10px;} } .main_menu .current_page_item a .avia-menu-text{border-bottom:0!important;} @media screen and (max-width:767px){.rem-arrow a:before{content:' '!important;} .responsive #top #wrap_all .container{width:92%;max-width:92%;} #advanced_menu_toggle{left:0;right:auto;border-width:0px;} .responsive #top .logo{margin:0 auto;width:150px;} .responsive .logo img{max-height:40px;margin:0 auto!important;} #header_main{border-top:0;} } @media screen and (min-width:1024px){li#menu-item-13649 ul.sub-menu{left:207px!important;} li#menu-item-13649.dropdown_ul_available>a::after{font-family:FontAwesome;position:absolute;left:auto;margin:0 5px;font-size:10px;} } #top a:focus{outline-offset:-2px!important;opacity:1!important;} .inner-container 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background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-11981:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1136:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-1435:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-3937:hover{background-color:rgba(255, 255, 255, 0.8) !important;-webkit-transition: background-color 300ms linear;-ms-transition: background-color 300ms linear;transition: background-color 300ms linear;} #menu-item-12966:hover{background-color:rgba(255, 255, 255, 0.8) !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;}