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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York, United States"], "hot": 0, "department": "Investments", "business_unit": "3022-Liberty Mutual Investments (LMI)-US", "t_update": 1779112020, "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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recommend enhancements to improve clarity, accuracy, and usability Create reports or spreadsheets to show data issues or confirm fixes Support implementation of data or process improvements and help evaluate results Respond to data-related questions from business partners by applying knowledge of financial data and business operations Learn from engineers and data teams about how data is built so you can better support the squads What You've Got 0-2 years of relevant professional experience, or equivalent experience through internships, co-ops, or rotational programs Bachelor's degree in Finance, Accounting, Business Analytics, Economics, Information Systems, Mathematics, or a related field Strong analytical, problem-solving, and critical thinking skills Solid working knowledge of Excel; experience with reporting tools or databases, writing SQL queries, and working with AI is a plus Ability to organize information, manage priorities, and work effectively in a fast-paced environment Strong written and verbal communication skills, with the ability to explain data clearly to diverse audiences Curiosity and willingness to learn, especially about financial data, data governance and standardization, and business processes Authorization to work in the United States on a permanent basis", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517104838", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618516911002, "name": "Senior Analyst, Direct Lending - Liberty Mutual Investments", "posting_name": "Senior Analyst, Direct Lending - 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": 1778725860, "t_create": 1776883020, "ats_job_id": "75717", "display_job_id": "2026-75717", "type": "ATS", "id_locale": "2026-75717-en", "job_description": "Contribute as an integral member of the team to invest in private debt financings across the capital structure, with an emphasis on unitranche, first lien, and second lien loans Support the investment process from start to finish, working closely with Team Leaders and Credit Research to conduct company and industry research, develop investment recommendations, and to manage loan positions post-closing of the initial investment Contribute to the preparation of the investment committee memorandums (complete with financial projections) and support Team Leaders in the presentation of the team's investment recommendations to internal investment committees Assist Team Leaders in the evaluation, structuring, and negotiation of economic and legal terms at both the term sheet stage and during final documentation Actively monitor the performance of existing investments and maintain relationships post-close with key investment participants, including the Borrower / Sponsor and Agent; 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Trains and supports team's mastery of operational work of the unit, including prior day posting and unallocated item research, control execution via system dashboards, intraday funding analysis and wire execution, intercompany balance generation and settlement proposals and footnote package preparation. Uses innovation to continuously improve processes--such as automated aging tools, PowerQuery-driven settlement proposals, PowerAutomate for internal intake, and systematic mapping rules for cash application--to ensure work is performed in the most efficient and effective means possible. Consults or executes on the more complex operational tasks of the unit, ensuring activity is processed timely and with high quality. 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Supports ongoing Treasury activities and objectives while driving enhancements and rollout for company-wide initiatives. Provides support and leadership over operational work for a Treasury function. Participates in projects, that are non-cyclical and varied, aligning with the project management life cycle (initiating/defining; planning; executing; close-out) and supporting business priorities, while keeping compliance controls top of mind. With limited guidance conducts moderately complex analysis and can quantify results to speak to trends or problem solve. Supports technical and analytical assessments of current issues facing Treasury and business stakeholders to uncover actionable insights to solve problems and lead to improvements. Engages with Treasury business partners, (vendors and financial institutions) as needed to address moderate to complex issues facing end users of their products and services. Participate in engagements with external agencies/organizations such as financial institutions and software providers, to evaluate and implement products on behalf of Treasury and the business units. Trains and supports team`s mastery of operational work of the unit. Uses innovation to continuously improve processes to ensure work is performed in the most efficient and effective means possible. Consults or executes on the more complex operational tasks of the unit, ensuring activity is processed timely and with high quality. 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Monitor global macro, market & credit developments; identify key portfolio risks and translate macro/sector/regulatory themes into actionable portfolio implications. Access and monitor Portfolio credit risk; serve as one of the primary credit risk liaisons, coordinating across investment teams and ERM on monitoring, escalation, governance, and reporting. Partner with LMI Investment Business Units (IBUs) portfolio managers and analysts to support new investment reviews and portfolio changes, including deal-level risk modeling, downside analysis, and identification of key risk mitigants. Develop, maintain, and enhance stress testing and scenario analysis framework; summarize impacts to portfolio exposures, risk appetite and guideline limits, including rating agency constraints. Produce monthly and quarterly portfolio risk reviews for senior stakeholders and committees; provide ad hoc deep dives to support research initiatives that improve consistency, transparency, and investment outcomes. Take a pragmatic approach to enhancing risk models, data, and analytics to strengthen overall investment decision making. A degree in Finance, Economics, or technical field and at least 5 years of relevant work experience is required. A graduate degree would be a plus. The successful candidate will bring a strong foundation in investment risk management and portfolio analytics, with the ability to translate complex risk topics into clear, actionable insights for portfolio managers and senior stakeholders. This role requires sound judgment, intellectual curiosity, and a collaborative mindset to independently challenge assumptions, support investment decisions, and enhance LMI's risk framework, data, and reporting capabilities. Demonstrated experience in investment/portfolio risk management, market/credit risk, or related buy-side investment analytics across public and private assets. Experience performing risk analysis for new transaction approvals and providing clear recommendations and supporting analysis to portfolio management and transaction review committees. Strong analytical background and quantitative toolkit including familiarity with AI/ML models; acquaintance with public-equivalent approaches for alternative/private assets risk modeling is a plus. Excellent written and verbal communication skills; ability to partner effectively across investment teams and support functions, and deliver clear risk insights, and provide constructive independent challenge. Demonstrated capability to drive projects to successful completion through cross-functional collaboration. Experience enhancing risk frameworks and contributing to data, analytics, and infrastructure improvements to strengthen risk management capabilities. Proficiency with Bloomberg and other standard financial tools & AI models; strong Excel skills (Python/R/SQL a plus). 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Experience creating rating logic and implementing rating programs in tools like Earnix, Radar Live, etc. Solid knowledge of predictive analytics techniques and statistical diagnostics of models. Foundational/intermediate 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. 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