Hiring: Quantitative Developer Company: WizardQuant Location: New York, United States Job Posted Time: 2026-09-09 18:00:50 Target Skills & Keywords : C++, Linear, Linux, Machine Learning, PyTorch, Python About the job Experience: •3+ years of experience in quantitative software engineering, with proven experience in designing and developing research and production quantitative systems. Strong project management skills. Required Skills: •● Develop quantitative research platforms and tools, such as simulation and backtesting systems, to support quantitative research computations in both interactive and batch-processing modes. •● Participate in algorithm research and implementation optimization for workflows like portfolio optimization, based on a deep understanding of business logic and engineering expertise. •● Build, optimize, and maintain low-latency trading pipelines and order execution systems, particularly within the context of global markets. •● Utilize or develop high-performance and parallel computing frameworks or libraries to optimize the performance of trading components in both research and production environments. •● Contribute to emerging business areas, including new investment horizons, trading frequencies, asset classes, and global markets. Qualifications: •● Bachelor’s degree or above, majoring in Computer Science, Software Engineering, Mathematics, or related STEM fields. •● Solid foundation in algorithms, data structures, and proficiency in software development within Linux environments. •● 3+ years of experience in quantitative software engineering, with proven experience in designing and developing research and production quantitative systems. Strong project management skills. •● Strong project management skills. •● Hands-on professional experience with modern C++ or Python, including concurrent and parallel programming. •Preferred Qualifications •● Experience in U.S. futures and equities markets and relevant quantitative trading systems. •● Deep understanding of low-latency, production trading software systems. •● Experience with quantitative research systems, linear algebra, numerical computations, and numerical optimization. •● Experience applying high-performance computing techniques to process large-scale time-series financial datasets. •● Experience with GPU computing and distributed computing. •● Solid understanding of computer science fundamentals such as architecture, OS and compilers. •● Experience with machine learning frameworks such as PyTorch. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!