Senior Front Office Quantitative Python Developer

Join Experis in Jersey City, NJ onsite to build and improve mission-critical trading and compliance applications for Global Markets. In this Senior Front Office Quantitative Python Developer role, you will work closely with front-office trading and risk management teams, helping translate quantitative ideas into software that supports day-to-day execution, risk mitigation, and regulatory needs.

What you’ll do

• Develop and enhance trading and risk management applications using Python.
• Partner with front-office teams to convert trading strategies into practical software solutions.
• Support and improve existing quantitative models and algorithms.
• Participate in code reviews, testing, and deployment to deliver reliable, high-quality releases.
• Analyze complex trading data to help inform compliance, surveillance, and risk mitigation efforts.

What you bring

• 7+ years of software engineering experience with Python.
• Experience supporting front-office trading or risk applications in banking or financial services.
• Strong foundation in quantitative analysis and data modeling.
• Proficiency with REST APIs and full-stack development (React.js preferred).
• Experience on trade surveillance, market misconduct, or compliance systems is a plus.

Core technologies

• Python
• REST APIs
• React.js

Benefits and culture

• Opportunity to work on mission-critical trading and compliance applications.
• Collaborate with talented professionals in a dynamic environment.
• Contribute to innovative solutions that support regulatory compliance.
• Engage in continuous learning and professional development.
• Be part of a reputable organization committed to diversity and inclusion.

Location: Jersey City, NJ (onsite). Compensation: USD 68 per hourly.