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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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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Work with the wider Liberty ecosystem of architects and technical leaders to ensure solutions align with enterprise standards, tool selection direction, and quality governance. Contribute improvements back into shared standards and tooling where possible to maximise leverage and consistency across the program. 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Be able to effectively communicate the underlying dynamics of the energy and infrastructure sub-markets. Seek to generate optimal risk-adjusted returns for the overall portfolio. Team Collaboration: Work independently in a flat/lean team structure and promote a culture of collaboration, being willing to work cross-functionally to add value across the organization. Education: Bachelor's degree with strong academic performance Experience: 4-6 years of relevant work experience in infrastructure, private credit investing, investment banking or similar financial institutions Previous experience in credit underwriting with a demonstrated ability to identify and evaluate transaction risks and risk mitigation strategies. Quantitative and qualitative analytical skills, financial modeling skills, and decision-making ability. Written and verbal communication skills; comfortable making investment recommendations and addressing questions from an investment committee. 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Associateship or Fellowship in the Casualty Actuarial Society (ACAS/FCAS) or in Society of Actuaries (ASA/FSA) 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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Demonstrate deep understanding of competitors product lines, go-to-market partnership strategies, and market trends thereby enabling effective negotiations with a variety of ParTech partners and their clients. Work in a fast-paced, entrepreneurial environment at Liberty. Build things from 0 to 1 in a scrappy way. Prepares and presents executive presentations for both internal & external stakeholders to ensure alignment around pursuit and business terms for potential new partners. Evangelize our vision for the future of insurance distribution & marketing by helping to shape the way that millions of people buy insurance in the U.S. Bachelor`s degree or equivalent training; MBA preferred 7 or more years of progressively more responsible sales, marketing or relationship management experience in a complex environment Requires in depth knowledge of the company's services, products and marketing techniques, insurance contracts, agency operations, funding and rating Requires highly effective oral and written communication skills including presentation, persuasion, relationship management, timing, tact and negotiating skills Requires strong networking and problem-solving skills Analytic and financial analysis competencies Demonstrated computer skills Must be able to accommodate up to 25 percent travel", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "remote_local", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618517181188", "isPrivate": false, "latlongs": "37.09024,-95.712891"}, {"id": 618517471374, "name": "Assistant Director, Product Research ( Property & Speciality)", "posting_name": "Assistant Director, Product Research ( Property & Speciality)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States", "Remote, Remote, United States", "Seattle, Washington, United States"], "hot": 0, "department": "Product Management", "business_unit": "3044-USRM-PL Property & Specialty Product-US", "t_update": 1781796840, "t_create": 1780329720, "ats_job_id": "76233", "display_job_id": "2026-76233", "type": "ATS", "id_locale": "2026-76233-en", "job_description": "Defines project strategy and overall project plan. Conducts moderate to high complexity analysis under minimal direction. Queries data to conduct ad hoc analysis of metrics. Builds tools and queries for others to use. Performs the underlying analysis on projects important to the SBU. Provides recommendations on the appropriate tools and techniques to perform analysis. Leads own workstreams on moderate to high complexity projects including members within and outside team. Conducts competitive intelligence and understands market trends Monitors and interprets developments, and use to inform strategic direction Serves as ad hoc resource for less experienced analysts. Mentors' others as requested. May, with limited supervision, conduct analysis to evaluate and implement vendor products. Using information gathered from analysis and research, provides franchise tactical recommendations on a countrywide basis for distribution channels while supporting changes for unique situations. 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Advanced knowledge of predictive toolset; reflects as expert resource for tool development. Demonstrated ability to exchange ideas and convey complex information clearly and concisely. Ability to establish and build relationships within and outside the organization. Ability to give effective training and presentations to management and other groups. Ability to use results of analysis to persuade team, department management or senior management to a particular course of action. Broad knowledge of business drivers and market context. Has a value driven perspective with regard to understanding of work context and impact. 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