Principal Front Office Engineer - Investment Innovation, Integration & Trading

Liberty Mutual; Boston (MA); Hybrid; USD 140.000 - 210.000; Vollzeit

Zusammenfassung

Liberty Mutual Investments Technology is seeking a Principal Front-Office Engineer in Boston to drive design and implementation of prototypes supporting fixed income analytics and AI-enabled workflows. The role emphasizes hands-on architecture and rapid delivery of production-ready applications within a hybrid office setting.

The ideal candidate has 8+ years of Python experience, strong SQL and data skills, and familiarity with Bloomberg tools and data ecosystems.

Qualifikationen

• 8+ years of professional full-stack Python experience
• Strong SQL skills and experience with financial data platforms
• Experience with Bloomberg BQuant, PyBQL, and related data ecosystems

Aufgaben

• Design and implement proofs of concept and prototypes for fixed income analytics
• Develop AI-enabled workflows and scalable reporting tools
• Collaborate with analysts and investment teams to productionize artifacts
• Lead technical direction while remaining hands-on as an IC

Kenntnisse

Python

Pandas

NumPy

Plotly Dash

Git

PyBQL

SQL

Ausbildung

Bachelor's or Master's degree

Tools

Bloomberg BQuant

BQL

Jobbeschreibung

Description

We are seeking a highly skilled and motivated Principal Front-Office Engineer to join Liberty Mutual Investments Technology. As a Principal Front-Office Engineer, you will serve as the technical lead embedded within the Investment Innovation, Integration & Trading (I3T) team, driving design and implementation of small-scale proofs of concept and prototypes that support the fixed income portfolio, 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 8 years professional experience programming in Python demonstrating the ability to write efficient androbust code able to process and analyze large financial datasets.
• Experience with key Python Libraries (pandas, NumPy) required
• Hands-on experience developing within Bloomberg's BQuant environment is strongly preferred.
• Experience writing and maintaining BQL queries, leveraging PyBQL and working with the Bloomberg data ecosystem is strongly preferred
• 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 (sucas 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 thatshowcase a deep understanding of quantitative techniques, methods, statistics and econometrics

Education

A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience

About Us

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. Togeth