Principal Front-Office Engineer - Investments Technology (Private Markets)

We are seeking a highly skilled and motivated Principal Front-Office Engineer to join our prestigious investment firm. As a Principal Front-Office Engineer, you will work with the Portfolio Strategy & Management (PSM) team in Private Markets, driving design and implementation of small-scale applications and proofs of concept (POCs) that improve private markets portfolio analysis, develop AI-enabled workflows, and enhance reporting systems & processes across private equity, private credit, real estate, and infrastructure.

Working directly with the PSM team and the broader Private Markets organization, you will focus on enhancing day-to-day AI use cases, helping turn prototypes and POC artifacts into robust systems and tools that scale into production-ready applications. Typical work includes commitment pacing and cash-flow forecasting models, portfolio exposure and look-through analytics, fund and manager performance reporting (IRR, MOIC, DPI, PME), and the data pipelines that bring together internal and third-party private markets data. We're looking for a hands-on software architect and builder who can design systems, rapidly iterate on them, and deliver quality solutions that power analytics, reporting, and investment decision-making.

This role sits within Private Markets Technology and operates under LMI’s Embedded Tactical Development (ETD) framework. The work is highly iterative: you’ll talk directly with the business, choose the tools and stack that fit the problem, and ship in short cycles without sprint planning or scrum ceremonies.

This role is ideal for a Lead or Senior Engineer who thrives as an individual contributor and wants to drive technical direction without moving into management.

Note: This Boston-based role has a hybrid work arrangement (3 days per week in office).

Responsibilities

• Embed with the PSM team to understand portfolio strategy, pacing, liquidity, and performance workflows, and translate them into well-scoped, iteratively delivered tools.
• Design and build full-stack Python applications, data pipelines, and decision-ready reports on enterprise platforms (GitHub, CI/CD via GitHub Actions, Snowflake, Azure AD-secured web apps).
• Help analysts take AI-generated prototypes and proofs of concept and harden them into reliable, maintainable, institutional-grade applications.
• Implement output validation, documented assumptions and limitations, and basic runtime logging for decision-support tools; provide best-effort operational support and remediate vulnerabilities within enterprise SLAs.
• Maintain clean, well-organized repositories: consistent project structure, automated linting and formatting, semantic version bumps and tagged releases, and up-to-date documentation so every solution stays maintainable and auditable.
• Contribute to and reuse shared utilities (connectors, authentication helpers, report distribution) in collaboration with other embedded engineers.

• Excellent problem-solving skills, with the ability to think critically, independently, and act with minimal handholding.
• 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; experience with CI/CD workflows (e.g., GitHub Actions) and cloud deployment preferred.
• Experience using Agentic Programming tools (GitHub Copilot, Claude) required.
• Demonstrated ability to partner with business teams to convert AI-generated artifacts (e.g., prototypes, proofs of concept) into institutional-grade, production-ready applications. Experience bridging the gap between rapid AI-assisted development and enterprise-quality software delivery is highly valued.
• Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools. Experience developing applications for investment management firms or, more broadly, financial services is a strong plus.
• Strong SQL skills required. Experience with Snowflake is a plus.
• Familiarity with private markets data platforms (such as eFront, PitchBook, DealCloud) and data manipulation techniques strongly preferred.
• Experience with statistical and time-series data analysis using pythonic libraries (such as Scikit-Learn, SciPy, cvxpy) is preferred; experience with Monte Carlo or scenario-based cash-flow modeling is a plus.
• Solid understanding of private markets, including fund structures, capital calls and distributions, J-curve dynamics, commitment pacing, and performance measurement (IRR, MOIC/TVPI, DPI, PME); foundational knowledge across private equity, private credit, real estate, and infrastructure.
• Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics.
• 8+ years of experience
• Bachelor's degree or equivalent experience

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://www.libertymutualgroup.com/about-lm/careers/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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