Senior Quant Developer - HFT Desk Location: Onsite - New York, NY Contract Type: 6-Month Contract Start Date: July 2025 Rate: $125/hour About the Role A leading high-frequency trading desk is seeking a Senior Quant Developer to join a fast-paced, high-impact team working on advanced Monte Carlo simulations and real-time pricing models. This is a hands-on, high-responsibility role where you'll collaborate directly with traders, quantitative researchers, and infrastructure engineers to deliver production-grade tools and models that drive trading decisions. Key Responsibilities • Design and implement Monte Carlo simulation engines for pricing, risk, and strategy evaluation. • Develop and optimise Python-based quant libraries for real-time and batch analytics. • Work closely with traders to prototype and deploy tools for strategy backtesting and scenario analysis. • Integrate models into the firm's low-latency trading infrastructure. • Ensure code quality, performance, and reliability in a high-stakes production environment. Required Skills & Experience • 8+ years of experience in quantitative development, preferably on a trading desk. • Expert-level proficiency in Python, with strong knowledge of NumPy, Pandas, and SciPy. • Deep understanding of Monte Carlo methods, stochastic processes, and numerical techniques. • Experience working in high-frequency or low-latency trading environments. • Familiarity with market data feeds, order book dynamics, and execution systems. • Strong communication skills and ability to work directly with front-office stakeholders. Qualifications • Education: • Bachelor's, Master's, or PhD in Mathematics, Physics, Computer Science, Engineering, Quantitative Finance, or a related field. • Strong academic foundation in probability theory, numerical methods, and stochastic calculus. • Continued Learning: • Demonstrated interest in staying current with quantitative research, algorithmic trading, and financial engineering through publications, open-source contributions, or academic engagement. Nice to Have • Experience with C++ or Rust for performance-critical components. • Familiarity with GPU acceleration (e.g., CUDA, Numba) for simulation workloads. • Exposure to Kubernetes, Docker, or cloud-based compute clusters. Contract Details • Duration: 6 months • Start Date: July 2025 • Location: Onsite in New York • Rate: $125/hour If you're a quant developer who thrives in high-performance environments and wants to work on a cutting-edge HFT project, we'd love to hear from you. Please submit your resume and apply above.