Principal Software Engineer, Investments Strategy & Capital Management
Liberty Mutual
Software Engineering
Boston, MA, USA
USD 128k-225k / year
Principal Software Engineer, Investments Strategy & Capital Management
- ID
- 2026-75600
- Position Type
- Full-Time
- Job Grade
- 18
- Department
- 043D-03433 LMI Technology
- Market
- Corporate Center
- Referral Bonus Amount
- $3,000
- Minimum Salary
- USD $128,000.00/Yr.
- Maximum Salary
- USD $225,000.00/Yr.
- Typical Starting Salary
- $180,000
- Recruiter
- Monica Vesprani
- Referral Bonus Eligible?
- Yes
Description
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 Investment Strategy & Capital Management team, driving design and implementation of small-scale applications and proof of concepts that will improve investment analysis, develop AI-enabled workflows, and enhance reporting systems & processes.
You will partner closely with analysts and investment teams to enhance their day-to-day use of AI, helping them build artifacts in a more technically sound manner and building robust systems and tools that scale those prototypes into production-ready applications. 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 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).
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 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 production-ready applications.
- Experience bridging the gap between rapid AI-developed prototypes to quality full-stack applications 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. Familiarity with financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, 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
- Solid understanding of financial markets, with foundational knowledge across fixed income, private equity, and private credit investment domains
- Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics
- A Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience
- 8+ years of experience
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