IT Principal Front-Office Engineer

Role: IT Principal Front-Office Engineer

Location:
Boston, MA (3x a week onsite)

Duration: 1+ Years

Key Responsibilities

• Serve as the technical lead embedded within the Investment Risk team.
• Design, architect, and implement small-scale applications, prototypes, and production-grade tools that enhance risk analytics and reporting.
• Develop AI-enabled workflows using modern agentic programming tools (Git Hub Copilot, Claude, etc.).
• Build systems capable of processing large, complex financial datasets.
• Collaborate closely with Risk Directors, risk analysts, and investment teams to deliver high-value, decision-ready solutions.
• Rapidly iterate on prototypes, validate concepts, and drive solutions across the finish line.
• Build and maintain robust Python applications, data pipelines, APIs, and visualization tools.
• Develop reporting, dashboards, and data models that support risk management workflows.
• Ensure high-quality code, scalability, maintainability, and adherence to development standards.
• Work onsite in Boston three days per week and participate in 2-3 rounds of onsite interviews.

Qualifications

Required

• 5+ years professional experience with Python (must be hands-on and expert level).
• Strong experience with SQL
  , financial datasets, and data manipulation.
• Experience using Agentic Programming tools (Git Hub Copilot, Claude, etc.).
• Experience designing and building application systems in data-rich environments
  .
• Familiarity with key Python libraries:
  pandas, Num Py
  .
• Experience with front-end development or Pythonic UI/visualization tools (e.g., Plotly, Dash).
• Strong experience with Git and version control.
• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Ability to work independently with minimal hand holding in a fast-paced environment.
• Strong problem-solving skills, critical thinking, and attention to detail.
• Understanding of financial markets
  , multi-asset class concepts, and investment risk.

Preferred

• Familiarity with:
• Bloomberg, Fact Set, Aladdin, eFront, Moody's
• Scikit-Learn, Sci Py, cvxpy (statistical + time-series analysis)
• Experience building custom AI tools or AI-assisted systems.
• Experience in risk analytics, portfolio risk, or investment risk domains.
• Experience developing or maintaining quantitative models, tools, and reports.
• Anyone engaged in personal trading or trading for other firms
  , hedge funds, or external clients.