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 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).

• 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 and robust 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 (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