Principal Front-Office Engineer, Investments Strategy & Capital Management

Job Summary

Required 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)
• •Experience in front-end development and user experience (UX) design
• •Experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash)
• •Experience using Version Control (Git)
• •Experience using Agentic Programming tools (Github Copilot, Claude)
• •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
• •Proven ability to design, build, and scale application systems in data-rich environments including custom AI tools
• •Strong SQL skills
• •Familiarity with financial data platforms (such as Bloomberg, FactSet, Aladdin, eFront, Moodys), financial databases, and data manipulation techniques
• •Experience developing applications for investment management firms or, more broadly, financial services
• •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
• •A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience
• •8+ years of experience
• •This Boston-based role has a hybrid work arrangement (3 days per week in office)

Desired Qualifications

• •experience with Pythonic front-end and data visualization libraries (e.g., Plotly, Dash)
• •Experience bridging the gap between rapid AI-developed prototypes to quality full-stack applications is highly valued
• •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