Quant Software Engineer (C++/Python) - Systematic Trading

Paragon Alpha - Hedge Fund Talent Business; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Paragon Alpha – Hedge Fund Talent Business is seeking a Systematic Quant Developer to join a market-leading hedge fund. The role centers on Python and C++ engineering to support research and trading infrastructure.

You will design and build high-performance systems, working closely with quantitative researchers and portfolio managers to tackle data-intensive, distributed workloads with a focus on scalability, reliability, and performance.

Qualifications

• Strong software engineering experience with Python and/or C++.
• Experience in data-intensive, distributed or performance-sensitive environments is preferred.
• Hands-on role collaborating with researchers and portfolio managers to build trading infrastructure.

Responsibilities

• Develop high-performance systems for research and trading infrastructure.
• Collaborate with quantitative researchers and portfolio managers to design and implement solutions.
• Scale data processing and optimize performance across production and research environments.

Skills

Python

C++

Distributed systems

Performance engineering

Data processing

Job description

Systematic Quant Developer – Python / C++

Working with a market-leading systematic hedge fund.

They are hiring a Quantitative Software Engineer to join a highly technical team building research and trading infrastructure.

This is a hands-on engineering role, working closely with Quantitative Researchers and Portfolio Managers to design and develop high-performance systems supporting systematic investment strategies.

The scope includes Python and C++ development, large-scale data processing, research tooling, model evaluation and performance-critical trading infrastructure. You'll be solving complex engineering challenges across both research and production environments, with a strong emphasis on scalability, reliability and performance.

They're looking for strong software engineers with experience in Python and/or C++, ideally from data-intensive, distributed or performance-sensitive environments. Prior financial services experience isn't essential.

There's significant ownership, with the opportunity to influence technical architecture and build systems used directly by investment teams.