Principal Front-Office Engineer

Job Title: Principal Front-Office Engineer Rate: $60-80/hr on Amtex W2 Duration: 6+ Months Location: Boston, MA (3 days onsite per week) Reference: 9653 – Principal Front End (Office Engineer) | 1622797 Status: Open (since late March) Update: In-person interviews ongoing; role remains difficult to fill Action: Continue sourcing support Manager Intake Summary Location: Boston (3 days onsite per week) Duration: Long-term Contract-to-Hire: Yes Interview Process 2–3 rounds total Round 1: Hiring Manager Round 2/3: Risk Directors All interviews conducted onsite in Boston Key Requirements Strong Python and SQL expertise Experience with Agentic programming tools (GitHub Copilot, Claude) Background in Risk / Investment Risk Hands‑on experience as a software architect and builder Proven ability to design, iterate, and deliver scalable systems end‑to‑end Disqualifiers Candidates engaged in personal trading activities outside of work (e.g., contracting with hedge funds or advising on securities trading) Day‑to‑Day Responsibilities Partner closely with Risk Directors within Investment Risk Collaborate with risk analysts and investment teams Build and enhance systems supporting: Risk infrastructure Analytics Decision‑ready reporting Role Overview We are seeking a Principal Front‑Office Engineer to serve as a technical lead within the Risk team. This individual will drive the design and development of applications and proof‑of‑concepts to enhance risk analysis, enable AI‑driven workflows, and improve reporting processes. This is a hands‑on role ideal for a senior or lead engineer who prefers to remain an individual contributor while influencing technical direction. Work Arrangement: Hybrid (3 days onsite in Boston) Qualifications Strong problem‑solving skills with the ability to work independently Excellent communication skills across technical and non‑technical audiences Ability to manage multiple priorities in a fast‑paced environment 5+ years of professional Python development experience, including large financial datasets Experience with pandas and NumPy Front‑end development and UX experience (Plotly, Dash preferred) Proficiency with Git/version control Experience with Agentic tools (GitHub Copilot, Claude) Proven ability to design and scale systems in data‑rich environments, including AI‑driven solutions Strong SQL skills Familiarity with financial platforms (e.g., Bloomberg, FactSet, Aladdin, eFront, Moody’s) preferred Experience with statistical/time‑series analysis tools (e.g., Scikit‑learn, SciPy, cvxpy) preferred Solid understanding of financial markets and multi‑asset risk #J-18808-Ljbffr Amtex Enterprises Inc