C++ Quant Research Engineer — Low-Latency Real-Time Trading

Citadel LLC; City of Rochester (NY); On-site; USD 275,000 - 350,000; Full time

Job summary

Citadel Global Quantitative Strategies (GQS) seeks a highly skilled C++ Quantitative Research Engineer to join its fast-paced, low-latency platform in the US. You will design and optimize real-time data processing, high-frequency trading systems, and ML inference tools to support proprietary research and trading strategies.

Strong engineering rigor, distributed systems knowledge, and a background in quantitative disciplines are essential.

Qualifications

• Academic foundation in a highly quantitative discipline.
• Advanced software engineering in C++ for production systems.
• Experience with distributed data processing pipelines.

Responsibilities

• Real-Time Data Processing: develop low-latency data ingestion and normalization across asset classes.
• High-Frequency Trading Systems: architect and evolve trading execution with low latency.
• Low-Latency ML Inference: build tools for rapid market forecasts and productionization.

Skills

C++ Engineering

Low-latency

Distributed systems

Quant research tools

ML inference

Real-time data processing

Education

Bachelor's/Master's/PhD in CS/Engineering/Math/Physics

Tools

Linux

Git

CMake

Perf profiling

Job description

Citadel Global Quantitative Strategies (GQS) seeks a highly skilled C++ Quantitative Research Engineer to join its fast-paced, low-latency platform in the US. You will design and optimize real-time data processing, high-frequency trading systems, and ML inference tools to support proprietary research and trading strategies.

Strong engineering rigor, distributed systems knowledge, and a background in quantitative disciplines are essential.