Quantitative Developer – Applied AI Research & C++ Engineering

About the role

Design, train, and refine predictive models for live trading strategies, and implement research ideas in high-performance C++ systems from concept through production deployment. Improve model fitting, optimization, calibration, research infrastructure, and simulation capabilities in collaboration with engineers and researchers. Candidates should have a strong academic background in a quantitative discipline and deep proficiency in C++ with experience writing high-performance, production-quality code. They should also have hands-on experience applying machine learning, deep learning, or statistical modeling, along with an end-to-end research and engineering mindset; systematic trading, quantitative finance, or high-performance computing experience is a plus.