Principal Front Office Engineer - Investment Innovation, Integration & Trading

Liberty Mutual•Boston, MA

8d•Hybrid

About The Position

Liberty Mutual Investments Technology is seeking a Principal Front-Office Engineer to serve as the technical lead embedded within the Investment Innovation, Integration & Trading (I3T) team. The role drives the design and implementation of small-scale proofs of concept and prototypes supporting the fixed income portfolio, investment analysis, AI-enabled workflows, and reporting systems and processes. The engineer partners closely with analysts and investment teams to improve their day-to-day use of AI, help them build technically sound artifacts, and turn prototypes into robust, production-ready applications. This is a hands-on software architect and builder role focused on designing systems, iterating rapidly, and delivering quality solutions for analytics, reporting, and investment decision-making. It is suited to a senior or lead individual contributor who wants to drive technical direction without moving into management. The Boston-based position has a hybrid work arrangement, with three days per week in the office.

Requirements

At least 8 years of professional programming experience in Python, with the ability to write efficient, robust code that processes and analyzes large financial datasets.
Experience with Python libraries pandas and NumPy.
Experience in front-end development and user experience (UX) design.
Experience using version control with Git.
Experience using agentic programming tools such as GitHub Copilot or Claude.
Strong SQL skills.
Ability to partner with business teams to convert AI-generated artifacts, including prototypes and proofs of concept, into production-ready applications.
Ability to design, build, and scale application systems in data-rich environments, including custom AI tools.
Foundational knowledge of financial markets across fixed income, private equity, and private credit investment domains.
Practical experience developing and maintaining models, tools, and reports that demonstrate understanding of quantitative techniques, methods, statistics, and econometrics.
Excellent problem-solving skills, critical and independent thinking, and ability to act with minimal handholding.
Effective communication skills for explaining complex ideas and analysis to technical and non-technical stakeholders.
Strong attention to detail and organization, with the ability to manage multiple tasks and priorities in a fast-paced environment.
Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience.

Nice To Haves

Hands-on experience developing within Bloomberg’s BQuant environment.
Experience writing and maintaining BQL queries, using PyBQL, and working with the Bloomberg data ecosystem.
Experience with Python-based front-end and data visualization libraries such as Plotly and Dash.
Experience developing applications for investment management firms or financial services more broadly.
Familiarity with financial data platforms such as Bloomberg, FactSet, Aladdin, eFront, or Moody’s, as well as financial databases and data manipulation techniques.
Experience with statistical and time-series data analysis using Python libraries such as Scikit-Learn, SciPy, and cvxpy.
Experience bridging rapid AI-developed prototypes into quality full-stack applications.

Responsibilities

Lead the design and implementation of proofs of concept and prototypes for fixed income portfolio support, investment analysis, AI-enabled workflows, and reporting.
Partner with analysts and investment teams to improve their use of AI and help them build technically sound artifacts.
Turn prototypes and AI-generated artifacts into robust, scalable, production-ready applications.
Design, build, and scale application systems and custom AI tools in data-rich environments.
Develop tools and reports that support analytics, reporting, and investment decision-making.
Drive technical direction as a hands-on individual contributor.