Principal Front-Office Engineer, Investments Strategy & Capital Management

We are looking for a highly skilled full‑stack Python developer with extensive experience in data‑rich financial environments.

• Excellent problem‑solving skills and the ability to think critically, independently, and act with minimal hand‑holding.
• Effective communication skills with the ability to 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 of professional experience programming in Python, capable of writing efficient and robust code that processes and analyzes large financial datasets.
• Experience with key Python libraries (pandas, Num Py) – required.
• Experience in front‑end development and UX design – required; experience with Pythonic front‑end and data visualization libraries (Plotly, Dash) preferred.
• Experience using Version Control (Git) – required.
• Experience using agentic programming tools (Git Hub Copilot, Claude) – required.
• Demonstrated ability to partner with business teams to convert AI‑generated artifacts (prototypes, proofs of concept) into production‑ready applications.
• Experience bridging the gap between rapid AI‑developed prototypes and 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 (Bloomberg, Fact Set, Aladdin, eFront, Moody’s), financial databases, and data manipulation techniques – strongly preferred.
• Experience with statistical and time‑series data analysis using Pythonic libraries (Scikit‑Learn, Sci Py, cvxpy) – 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.
• A Bachelor's or Master's degree in a technical or business discipline, or equivalent experience.
• 8+ years of experience.