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

Liberty Mutual Fire Insurance Co.; Boston (MA); Hybride; USD 180 000 - 300 000; Plein temps

Résumé du poste

Liberty Mutual Fire Insurance Co. seeks a Principal Front-Office Engineer to design and deliver production-grade AI-enabled analytics and reporting tools for private markets.

You will build end-to-end Python apps, data pipelines, and dashboards, collaborating with the PSM team and other engineers to scale prototypes into robust systems. The role emphasizes fast iteration in a hybrid Boston setting, with direct business interaction, governance by ETD, and a focus on investment-management relevant

Qualifications

• Excellent problem-solving skills, ability to work independently with minimal guidance.
• Effective communication to technical and non-technical stakeholders.
• Strong attention to detail, able to manage multiple tasks in a fast-paced environment.
• 5+ years of professional Python development for large financial datasets.
• Proficient with pandas and NumPy.
• Front-end development and UX; Plotly/Dash experience preferred.
• Experience with Git and CI/CD workflows; GitHub Actions and cloud deployment preferred.
• Experience using agentic programming tools (GitHub Copilot, Claude).
• Ability to translate AI prototypes into production-grade applications for investment management.
• Experience in investment management/financial services is a strong plus.
• Strong SQL skills; Snowflake experience is a plus.
• Familiarity with private markets data platforms (eFront, PitchBook, DealCloud).
• Experience with time-series data analysis using Python libraries (Scikit-Learn, SciPy, cvxpy); Monte Carlo cash-flow modeling.

Responsabilités

• Embed with the PSM team to translate portfolio strategies into iteratively delivered tools.
• Design and build full-stack Python applications, data pipelines, and decision-ready reports on enterprise platforms.
• Harden AI-generated prototypes into production-ready, scalable applications.
• Implement output validation, documented assumptions, and basic runtime logging within enterprise SLAs.
• Maintain clean repositories with linting, formatting, versioning, and up-to-date docs.
• Collaborate with embedded engineers to reuse utilities and connectors.

Connaissances

Python development

Data pipelines

AI workflows

SQL

Front-end development

Git & CI/CD

Agentic programming tools

Production-ready software

Investment/financial services domain

Outils

pandas

NumPy

Plotly

Dash

Snowflake

GitHub Actions

Azure AD-secured web apps

Description du poste

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.

Qualifications

• 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 mo