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

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: Liberty Mutual
Part Time position
Listed on 2026-06-02
Job specializations:
  • Software Development
    Software Engineer, Python
Job Description & How to Apply Below
Description

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).

Qualifications

* Excellent problem-solving skills, with the ability to think critically, independently, and act with minimal hand holding.

* 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, Num Py) 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, Fact Set, 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, Sci Py, 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

Qualifications

* Excellent problem-solving skills, with the ability to think critically, independently

* 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, Num Py) 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.

* Proven ability to design, build, and scale…
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