Python Developer

Job Title: Principal Front Office Engineer – Python / Risk / AI Location: Boston, MA (Hybrid – 3 days onsite) Employment Type: W2 Contract (Contract-to-Hire) Duration: Long Term Interview Process: 2–3 rounds (All onsite in Boston) About the Role: Our client, a leading investment and insurance-focused financial services firm, is seeking a Principal Front Office Engineer to join their Risk team. This is a hands-on technical leadership role where you will design, build, and deliver applications that enhance risk analytics, reporting, and AI-driven workflows. You will work closely with Risk Directors, analysts, and investment teams, focusing on building scalable systems that power risk infrastructure and decision-ready insights. This role is ideal for a senior/lead engineer who wants to remain highly technical while driving architecture and innovation. Key Responsibilities: • Design and develop small-scale applications, POCs, and AI-enabled tools for risk analytics • Build scalable systems to support risk infrastructure, reporting, and data workflows • Collaborate with risk analysts and investment teams to translate requirements into technical solutions • Develop and optimize Python-based data processing systems for large financial datasets • Implement data visualization and front-end solutions using tools like Plotly or Dash • Rapidly iterate, prototype, and deliver production-ready solutions • Maintain and enhance SQL-based data pipelines and reporting systems Required Skills: • 5+ years of hands-on development experience with Python • Strong expertise in SQL and data manipulation • Experience with Python libraries: pandas, NumPy • Experience with Agentic Programming tools (GitHub Copilot, Claude) • Full-stack development experience (backend + frontend/UX) • Experience with Git/version control • Strong problem-solving skills and ability to work independently • Excellent communication skills with both technical and business stakeholders Preferred Skills: • Experience with data visualization tools (Plotly, Dash) • Familiarity with financial data platforms (Bloomberg, FactSet, Aladdin, eFront, Moody’s) • Experience with statistical/time-series analysis (SciPy, Scikit-learn, cvxpy) • Understanding of financial markets and investment risk domain • Experience building AI/ML-driven tools and workflows Ideal Candidate: • Hands-on software architect and builder • Strong ownership mindset; proactive and self-driven • Thrives in fast-paced, high-impact environments • Able to design, iterate, and deliver solutions end-to-end • Comfortable working directly with senior stakeholders Important Notes: • Must be local to Boston, MA and able to work onsite 3 days/week • Candidates actively involved in external trading or hedge fund activities will not be considered • Strong focus on Python, SQL, Risk domain, and AI tools