Quantitative Developer (Low-latency)

Hedge Fund; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading Hedge Fund in New York is seeking a low-latency quant developer to join its trading team. You will design and implement a sophisticated algo trading platform in modern C++, ensuring reliability and performance in a fast-paced environment.

The ideal candidate has strong C++ proficiency and experience in multithreaded programming, high-frequency trading, and Linux systems. This is a unique opportunity to contribute to cutting-edge trading solutions.

Qualifications

• Strong proficiency in modern C++ and software optimization techniques.
• Good understanding of low-level systems programming.
• Experience with multithreaded programming and high-performance networking (TCP/UDP).
• Comfortable working in Linux environments and using profiling/debugging tools.

Responsibilities

• Design and implement a low-latency, high-throughput algo trading platform in modern C++.
• Collaborate with the Portfolio Manager and integrate trading strategies.
• Profile and optimize system performance.

Skills

Modern C++

Software optimization techniques

Multithreaded programming

High-performance networking

Python

Tools

gdb

valgrind

Job description

Multi-strategy, Multi-manager hedge fund is seeking a low-latency quant developer to join a trading team.

Responsibilities

• Design and implement a low-latency, high-throughput algo trading platform in modern C++
• Collaborate with the Portfolio Manager and researchers to integrate trading strategies into the production environment
• Profile and optimize system performance
• Ensure reliability and fault tolerance in production systems
• Write maintainable and well-tested code in a fast-paced development cycle

Desirable Candidates

• Strong proficiency in modern C++ and software optimization techniques
• Good understanding of low-level systems programming
• Experience with multithreaded programming and high-performance networking (TCP/UDP)
• Comfortable working in Linux environments and using profiling/debugging tools (e.g., gdb, valgrind)
• Experience working in quantitative trading, high-frequency trading (HFT), market making, real time market access or real time order management technology preferred
• Familiarity with exchange protocols and co-location services preferred
• Working knowledge of Python for scripting and automation preferred