IT Principal Front-Office Engineer

The Judge Group; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

The Judge Group seeks an IT Principal Front-Office Engineer in Boston, MA on-site three days a week for 1+ year engagements. You will lead technical work within Investment Risk, architect and deliver risk analytics tooling, and build data pipelines and dashboards.

Ideal candidates have 5+ years Python, SQL, and experience with agentic programming tools, Plotly/Dash, and Git. Strong communication and independence in fast-paced finance environments are essential.

Qualifications

• 5+ years professional Python experience; hands-on and expert level.
• Strong SQL skills with financial datasets and data manipulation.
• Experience using Agentic Programming tools (GitHub Copilot, Claude).
• Experience designing systems in data-rich environments.
• Familiarity with Python libraries: Pandas, NumPy.
• Experience with front-end development or Pythonic UI/visualization (Plotly, Dash).
• Strong Git and version control experience.
• Ability to communicate complex tech concepts to stakeholders.
• Ability to work independently in a fast-paced environment.
• Strong problem-solving and attention to detail. Understanding of financial markets.

Responsibilities

• Serve as technical lead within the Investment Risk team.
• Design, architect, and implement apps, prototypes, and tools for risk analytics.
• Develop AI-enabled workflows using agentic programming tools.
• Build systems processing large, complex financial datasets.
• Collaborate with Risk Directors and investment teams to deliver solutions.
• Iterate on prototypes and drive to production.
• Build and maintain Python apps, data pipelines, APIs, and visualizations.
• Develop reporting, dashboards, and data models for risk workflows.
• Ensure high-quality, scalable code and standards.
• Work onsite in Boston three days per week and participate in 2-3 rounds of onsite interviews.

Skills

Python

SQL

Agentic tools

Data-rich environments

Pandas

NumPy

Git

Financial markets

Communication

Independent work

Tools

GitHub Copilot

Claude

Plotly

Dash

Job description

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 (GitHub 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 (GitHub Copilot, Claude, etc.).
• Experience designing and building application systems in data-rich environments.
• Familiarity with key Python libraries: pandas, NumPy.
• 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 handholding 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, FactSet, Aladdin, eFront, Moody's
• Scikit-Learn, SciPy, 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.