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Python Developer - Principal Engineer
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-07-19
Listing for:
Pinnacle Group, Inc.
Part Time
position Listed on 2026-07-19
Job specializations:
-
Software Development
Python
Job Description & How to Apply Below
Locals to Boston, Interviews are in person.
No C2C or 1099 allowed
- W2 Hourly is the only way we can engage contractors for this position.
Location:
Boston only (3X a week onsite) Duration:
Long term Contract to Hire position. Interview Details: 2 or 3 Total. One with the HM and second and/or third with 2 Risk Directors -- ALL interviews will be held ONSITE at the Boston office.
Job Description:
- Client is seeking a highly skilled and motivated Principal Front Office Engineer to join client’s prestigious investment firm.
- As a Principal Front Office Engineer, candidates 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.
- Candidates 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.
- Client is 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.
- Excellent problem‑solving skills, with the ability to think critically, independently, and act with minimal hand holding.
- 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, Num Py) required
- Experience in frontend 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, Fact Set, 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, Sci Py, 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
- This Boston‑based role has a hybrid work arrangement (3 days per week in office).
- 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.
- Doing any trading on their own outside of work like contracting out with other hedge funds or helping a company trade securities.
- Candidate will be working closely with the directors of Risk within Investment Risk.
- Also work closely with risk analysts and investment teams, but the primary focus will be building robust systems and tools that power risk infrastructure, analytics, and decision‑ready reporting.
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