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. Qualifications 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, NumPy) – 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 (GitHub 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, FactSet, 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, SciPy, 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. #J-18808-Ljbffr Liberty Mutual Insurance