Python Quant Developer (Trading & Risk Systems)

TL;DR

Python Quant Developer (Trading & Risk Systems): Designing and developing a core Python quant library for pricing, risk, and analytics with an accent on building frameworks for live research tools and application integration. Focus on optimizing performance and stability of analytics components and data pipelines.

Location: Hybrid setup based in New York

Salary: Up to $250,000 base plus discretionary bonus

Company

Global trading desk focused on building infrastructure for quantitative research, pricing, and risk.

What you will do

• Design and develop a core Python quant library for pricing, risk, and analytics
• Build frameworks for live research tools and application integration (Excel, web, etc.)
• Define and maintain CI/CD workflows for testing and deployment of Python packages
• Collaborate with other quant engineers and developers to embed Python into a broader distributed trading environment
• Optimize performance and stability of analytics components and data pipelines

Requirements

• Strong Python development background
• Experience building high-performance analytics applications or libraries
• Understanding of network fundamentals and database systems
• Clear communicator with a collaborative approach to engineering

Nice to have

• Experience with C++ or C#
• Exposure to PyXLL or Excel integration for trading tools
• Prior work in trading or risk-focused applications
• Familiarity with pybind or bridging Python with native libraries

Culture & Benefits

• Core engineering role in a front-office quant dev team
• Hands-on exposure to pricing, analytics, and distributed systems
• Full benefits package including health, retirement, and education support