Principal Front Office Engineer, Multi-Asset Risk Solutions - Investments Technology

Liberty Mutual Insurance•Boston, MA

34d•Hybrid

About The Position

Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company. 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 serve as the technical lead embedded within the Risk team, driving design and implementation of small-scale applications and proof of concepts that will improve risk analysis, develop AI-enabled workflows, and enhance reporting systems & processes. You will work closely with risk analysts and investment teams, but your primary focus will be building robust systems and tools that power risk infrastructure, analytics, and decision-ready reporting. We’re looking for a hands-on software architect and builder who has experience designing systems, rapidly iterating over them and delivering them across the finish line. 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).

Requirements

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 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