Principal Front-Office AI Systems Engineer

The Liberty Mutual Foundation; Boston (MA); Hybrid; USD 128,000 - 225,000; Full time

Benefits offered by this job

Competitive Compensation

Flexible Work Arrangements

Top-Notch Retirement Plan

Career Development

Health & Wellness

Commitment to an inclusive environment

Job summary

The Liberty Mutual Foundation is seeking a highly skilled Principal Front-Office Engineer to join our investment firm in Boston. This role involves serving as the technical lead in designing and implementing applications that improve investment analysis through AI-driven workflows.

As a hands-on software architect, you will directly enhance the operational capacity of investment teams. Applicants should have over 8 years of experience, a strong background in Python, and familiarity with financial data platforms.

Qualifications

• Minimum of 5 years of professional experience programming in Python.
• Experience in developing applications for investment management firms is a strong plus.
• Strong understanding of financial markets and investment domains.

Responsibilities

• Drive design and implementation of small-scale applications and proof of concepts.
• Partner with analysts to enhance AI usage in investment analysis.
• Design robust systems and tools that can scale prototypes into production-ready applications.

Skills

Full-stack development knowledge

Python programming

SQL skills

Experience with key Python Libraries (pandas, NumPy)

Front-end development

Experience using Version Control (Git)

Education

Bachelor's or Master's degree in a technical or business discipline

Tools

GitHub

Bloomberg

FactSet

Statistical analysis tools

Job description

The Liberty Mutual Foundation is seeking a highly skilled Principal Front-Office Engineer to join our investment firm in Boston. This role involves serving as the technical lead in designing and implementing applications that improve investment analysis through AI-driven workflows.

As a hands-on software architect, you will directly enhance the operational capacity of investment teams. Applicants should have over 8 years of experience, a strong background in Python, and familiarity with financial data platforms.