Title: Principal Front-Office Engineer - Python (Hybrid) Location: Boston, MA | Pay: 70-85/hr
*No C2C*
Interview process: 2-3 rounds of interviews. All interviews will be held ONSITE
What they are looking for:
Advanced Python capabilities and beginner to intermediate DevOps skills
Job Description:
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.
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
Strong Python, SQL and experience using Agentic Programming tools (Github Copilot, Claude) required. Experience with Risk also required.
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.