Crypto Quantitative Developer
Role details
Job location
Tech stack
Job description
Job Description Role Summary We are expanding our digital assets team and are seeking a Crypto Quantitative Developer to build and optimize high-performance trading systems in fast-moving, highly competitive markets. In this role, you'll work at the intersection of quantitative research, low-latency systems, and crypto market microstructure, developing production-grade trading strategies using modern C++. Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available. Responsibilities:
- Design, develop, and maintain low-latency, high-performance C++ trading systems for crypto markets
- Partner closely with quantitative researchers and traders to translate trading ideas into production code
- Optimize system performance across latency, throughput, and reliability, including exchange connectivity and market data handling
- Build and enhance pricing, risk, and execution logic for crypto products
- Analyze and improve system behavior using large-scale market and trade data
- Ensure systems are resilient, well-tested, and scalable across global crypto venues
Requirements
- Strong proficiency in C++ (C++17 or newer) with a focus on performance-critical systems
- Solid foundation in data structures, algorithms, and systems programming
- Experience developing production trading systems or other low-latency, high-availability software
- Strong understanding of Linux environments, networking, and concurrency with a focus on cloud deployments
- Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment
- Experience working with crypto markets, exchanges, or digital asset trading infrastructure (preferred)
- Knowledge of market microstructure, order books, and execution strategies (preferred)
- Background in quantitative finance, mathematics, computer science, or a related technical field