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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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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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": 618506320803, "name": "Senior Analyst, AI Enablement Strategy - Liberty Mutual Investments", "posting_name": "Senior Analyst, AI Enablement Strategy - 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": 1771609380, "t_create": 1756429560, "ats_job_id": "72003", "display_job_id": "2025-72003", "type": "ATS", "id_locale": "2025-72003-en", "job_description": "Description The Company Come build on our integrated platform with industry-leading talent, world-class partners, and freedom to innovate. Liberty Mutual Investments (LMI) is the investment firm for Liberty Mutual Group (Liberty). With deep expertise in fixed income, equity, and alternative strategies, LMI invests more than $100B of long-term capital globally, and has a team of nearly 300 investment, finance, and operations professionals located in Boston, MA, and New York, NY. LMI has a clear purpose: drive economic growth, build enduring businesses side-by-side with our partners, and generate superior risk-adjusted returns that secure Liberty's promises. LMI offers the best of both worlds -- the look and feel of a boutique investment firm with the reputation and financial strength of a global leader. As the investment firm of a mutual with long-term capital, LMI has a single client mandate. This gives us the freedom to focus on what we do best. Our portfolio spans a broad spectrum of public and private investments, and we are committed to expanding our capabilities and our toolkit in support of our mission. We invest across diverse asset classes, financial structures, and industries, including real estate, digital infrastructure, healthcare, renewable energy, and technology--with the aim of creating value and powering innovation. We pride ourselves on our extensive network of mutually beneficial partnerships, and we use our substantial influence, capital, and energy to drive towards a better future. #LMI This is a range posting between a Senior Analyst and Associate position and level will be determined by hiring team based on experience. The Position: We are seeking an AI Enablement Strategy Senior Analyst to join LMI, reporting to the Director of the AI Collective, to help shape the AI strategy of a globally invested, multi-strategy investment firm. In this role, you will help define and execute our AI enablement strategy, drive curiosity driven experimentation, and foster culture change that empowers our investment business units. You will translate AI capabilities into strategic initiatives, ensure secure and ethical deployments, and measure impact against business objectives. Responsibilities: Strategy & Governance: Help build the AI adoption roadmap, governance framework, and success metrics alongside AI Collective and GIS leadership. Stakeholder Enablement: Lead cross functional workshops, perform needs assessments, and advise teams on AI best practices. Experimentation: Plan, launch, and iterate quick turn pilots that surface scalable, high value use cases. Curiosity & Tool Proficiency: Showcase hands-on experimentation with GenAI tools; articulate how they work, where they break, and how you've used them in prior projects. Capability Building: Create playbooks, training, and self-service resources to raise AI literacy across the organization. Project Management: Maintain detailed project plans, track adoption KPIs, and brief senior leadership on progress. Risk & Compliance: Partner with Technology, Compliance, and Legal to deliver secure, ethical, and scalable AI solutions. Qualifications 5+years in asset management or financial services, with hands-on work in AI strategy, analytics, or digital transformation. Demonstrated passion for curiosity-driven experimentation and can speak to personal GenAI projects, favorite tools, and lessons learned. Practical knowledge of modern AI platforms, large language models, and MLOps concepts. Proven ability to manage complex, multi stakeholder projects from ideation through rollout. Excellent written and verbal communication skills; adept at translating technical concepts for diverse audiences. Bachelor's degree required; advanced degree a plus. About Us Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role. At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve. We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law. 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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, or related investment finance roles. Strong technical knowledge of fund structures, carried interest, and investment performance calculations. Experience with financial modeling, waterfall calculations, and fund accounting principles. Exceptional attention to detail with proven ability to manage sensitive financial data. Strong collaboration skills with ability to partner effectively across Finance, Compensation/HR, and senior leadership. Excellent communication skills, both written and verbal, with ability to translate complex financial data into clear insights. Analytical rigor and problem-solving orientation. High integrity and commitment to accuracy in financial reporting. Process-driven with ability to improve operational workflows. Ability to balance technical detail with big-picture program impact. 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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. 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 Agentic Programming tools (Github Copilot, Claude) required. Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools. Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques preferred. Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, SciPy, cvxpy) is preferred. Solid understanding of financial markets and multi-asset investment risk domain. Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics Excellent problem-solving skills, with the ability to think critically, independently 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. Proven ability to design, build, and scale application systems in data-rich environments. Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront), financial databases, and data manipulation techniques preferred. Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, SciPy, cvxpy) is preferred. 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Deliver real-time analysis and actionable insights to guide portfolio and investment decisions by synthesizing private market datasets and tools with academic research and external market perspectives. Partner with Product, Data and Technology teams to develop solutions and ensure practices and techniques are fully documented and institutionalized where applicable. Leverage latest technology, programming, and data visualization tools to improve analytical processes, optimize workflows, and enhance decision-making capabilities, often developing prototypes and MVP tools. Manage multiple projects simultaneously, ensuring timely completion and high-quality deliverables while maintaining attention to detail and accuracy. Drive continuous improvement by proactively challenging existing processes, identifying inefficiencies, and implementing automation solutions. Foster effective and consistent communication across the organization to promote innovation, encourage critical thinking, and support the execution of the private investment's mandate. Strong proficiency in Python and SQL, with hands-on experience using core scientific computing libraries (pandas, NumPy, SciPy) for data transformation, analysis, and modeling. Experience working with financial and time-series data, including building, maintaining, and optimizing analytic workflows and data pipelines. In-depth experience in private market systems / data / tools / visualization / platforms (WSO, eFront, Aladdin a plus). Ability to work across teams to innovate collaboratively and to achieve desired results Excellent communication skills (written / verbal / presentation). 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A Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. 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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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Own VM/IM workflows, collateral optimization, margin dispute resolution, and valuation governance and reconciliations. Partner with trade capture and confirmation teams to support onboarding, exception management, and upstream data quality. Manage integration of derivatives operational data into Both the Investment and Accounting books of record, ensuring accurate P&L and balance sheet reporting. Support month-end close, hedge accounting assessment, and audit requests in partnership with Accounting and Finance. Support the onboarding of new derivative instruments and trading strategies, partnering with trading, risk, technology, and accounting to ensure products are operationally sound, properly valued, collateralized, and accurately reflected in downstream reporting and controls. Define and monitor SLAs, KPIs, and controls, drive automation and continuous improvement. Work with technology teams and external vendors on system integrations and platform enhancements. 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