Principal Software Engineer - Multi-Asset Risk Solutions - Investments Technology
Job Locations US-MA-Boston
ID 2026-74952
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 $150,000-$200,000
Recruiter Monica Vesprani
Internal Application Deadline 3/24/2026
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 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 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
Qualifications
Experience
- 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, 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.
- Proven ability to design, build, and scale application systems in data-rich environments.
- Strong SQL skills required with a familiarity of financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront), 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/investments and risk
- Practical experience in developing and maintaining models, tools, and reports that showcase a deep understanding of quantitative techniques, methods, statistics and econometrics
Skills
- Excellent negotiation, facilitation and consensus-building capabilities
- Openness and adaptability to respond to fast-moving circumstances
- Proficiency in multiple object-oriented programming langua