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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Provide carried interest plan support including coordination with key partners, advisory input, and administrative support for participant decisions, reporting, and governance discussions. Bachelor's degree required; MBA preferred but not required. 5-8 years of experience in compensation, HR, finance, or related advisory roles; investments/asset management experience is a plus. Experience supporting annual compensation cycles, offer construction, and market benchmarking (McLagan or comparable surveys). Strong analytical skills, including modeling and scenario analysis; ability to develop and communicate clear recommendations. Proficiency in Excel and PowerPoint; experience with DocuSign a plus. Strong collaboration skills with ability to partner effectively across Talent, Finance, Corporate Compensation, and Legal. Excellent written and verbal communication skills; ability to translate complex compensation topics into clear guidance. Experience supporting equity/LTI and/or carried interest programs. High integrity and discretion in handling sensitive compensation data. Strong judgment, attention to detail, and commitment to accuracy. Effective stakeholder management and influence skills. Solutions-oriented mindset and comfort navigating ambiguity. 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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. 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Liaise with Compliance, Privacy, and central GenAI teams. Continuously scan the Gen AI landscape: model releases, orchestration frameworks, prompt-engineering trends?and assess fit for our roadmap Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture that earns trust across technical and business teams Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. 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Solid understanding of financial markets/investments and risk Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics In-depth knowledge of diverse and emerging technologies, architectural concepts and principles A deep understanding of layered solutions and designs Awareness of policies regarding security and privacy Understanding of backlog tracking, burndown metrics and incremental delivery 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/618516080556", "isPrivate": false, "latlongs": "42.3555076,-71.0565364"}, {"id": 618515616309, "name": "Principal Full Stack Software Engineer, Investments Technology (Public Markets)", "posting_name": "Principal Full Stack Software Engineer, Investments Technology (Public Markets)", "location": "Boston, Massachusetts, United States", "locations": ["Boston, Massachusetts, United States"], "hot": 0, "department": "Technology", "business_unit": "0027-LM Technology-US", "t_update": 1776081420, "t_create": 1771339200, "ats_job_id": "74632", "display_job_id": "2026-74632", "type": "ATS", "id_locale": "2026-74632-en", "job_description": "- 8+ years of software engineering experience in an agile environment - Prior experience building real\u2011time trading, execution, order management, or market data systems for institutional investors strongly preferred. - Deep understanding of distributed systems, low\u2011latency architectures, and resilient, fault\u2011tolerant design. - Proven experience working in fast\u2011paced, regulated financial services environments. - Strong proficiency in Python and modern backend development; experience with cloud\u2011native architectures on AWS (e.g., Lambda, Fargate, Step Functions). - Experience designing and consuming REST and event\u2011driven APIs; familiarity with data platforms such as Snowflake and ingestion pipelines. - Practical experience applying AI\u2011assisted tools in the SDLC (e.g., code generation, test creation, observability, or productivity tooling). - Deep knowledge of software architecture patterns, security and privacy controls, and enterprise engineering practices. - Strong grasp of agile delivery, backlog management, and incremental value delivery. 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Maintain and enhance the internal eligibility and rulings tracker (\"source of truth\") to document decisions and support consistent application of plan rules. Partner with business leaders, Talent Business Partners, and Finance to evaluate eligibility questions and communicate outcomes clearly. Serve as a subject matter expert on carried interest plan design concepts and governance practices in cross-functional forums and meetings. Support documentation for investment/vintage eligibility standards and decision rationales to improve clarity and consistency over time. Support ongoing evolution of the technology/data landscape, including requirements gathering, data mapping, and user testing for reporting and tracking needs. Bachelor's degree in Finance, Accounting, Economics, or related field; CPA, CFA, or MBA preferred. 5-8+ years of experience in fund finance, asset management, private equity/real assets/credit investing, or related investment finance roles. Direct, hands-on carried interest plan experience (governance, plan design/documentation support, participant awards tracking, and reporting). Strong knowledge of fund structures, carried interest, and investment performance concepts; ability to interpret carry terms and apply them operationally. Advanced Excel skills and strong PowerPoint capabilities; ability to produce clear, executive-ready materials. Exceptional attention to detail with proven ability to manage sensitive financial and compensation data. Strong collaboration skills with ability to partner effectively across Finance, Compensation/HR, Talent Business Partners, and senior leadership. Excellent communication skills, both written and verbal, with ability to translate complex financial information into clear insights. Nice to have: familiarity with EWM (or similar vendor administrators), Allvue, and/or Power BI. High integrity and commitment to accuracy and confidentiality. Strong judgment and ability to apply governance standards consistently. Analytical rigor with a solutions-oriented approach to ambiguity. Ability to balance technical detail with clear stakeholder communication. 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Partner materials (\"tearsheets\"): Prepare customized partner tearsheets by consolidating and synthesizing data from multiple sources into clear, decision-useful summaries. Relationship planning & targeting support: Support relationship planning by maintaining key partner inputs and helping translate CRM activity and qualitative context into clear engagement priorities, and meeting preparation inputs. Content & materials support: Help maintain and improve access to core RM materials (e.g., partner-facing content, internal references) to support efficient preparation and consistent execution across engagements. Workflow standardization: Coordinate with analysts across the platform to standardize and centralize RM-related workflows, templates, tagging conventions, and reporting definitions. Meeting prep & follow-through: Provide timely support for leadership and investment teams, including pre-meeting preparation, follow-up coordination, and tracking against agreed engagement priorities. Engagement analytics & insights: Identify themes and trends across engagement activity and surface actionable insights to inform RM and investment team strategy and prioritization. 3-6+ years of relevant experience in relationship management, investor relations, client service, or a similar stakeholder-facing role within asset management, financial services, or a related field. Demonstrated ability to produce accurate, executive-ready outputs (e.g., summaries, partner briefs/tearsheets, updates) with strong attention to detail. Strong project management and prioritization skills; ability to manage multiple stakeholder requests with responsiveness and sound judgment. Experience working with CRM platforms (preferably DealCloud; Salesforce or similar acceptable) and comfort operating in a data stewardship role. Proven ability to build trust, navigate ambiguity, and partner effectively across senior stakeholders with professionalism, discretion, and responsiveness. Strong analytical skillset (advanced Excel; comfort synthesizing multiple inputs into clear outputs); strong PowerPoint skills preferred. Familiarity with private markets (e.g., PE, private credit, real assets). Demonstrates strong AI literacy and uses AI-enabled tools to enhance speed, accuracy, and insight generation while maintaining sound judgment and compliance with governance standards.", "stars": 0.0, "medallionProgram": null, "location_flexibility": null, "work_location_option": "onsite", "canonicalPositionUrl": "https://searchjobs.libertymutualgroup.com/careers/job/618514630692", "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": 1778079420, "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. 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 5+ years of relevant work experience is required. A graduate degree would be a plus. 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Partner with senior team members to support all aspects of deal evaluation including investment framing, credit underwriting, due diligence, structuring and management of the investment committee process. Own the operational process and coordinate with internal stakeholders as the deal moves from initial screening to close. Creation and Presentation of Materials: Develop detailed investment committee memoranda and screening presentations. Present to team members and investment committees. Robust Analytical and Modeling Skillset: Perform detailed financial modeling and data analysis to support investment decision-making. Portfolio Management and Monitoring: Follow progression of closed transactions and communicate material changes to broader team members. Work on ad hoc requests to summarize portfolio metrics and performance. Value Generation: Drive robust relative value discussions across the organization. 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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