Quantitative Trader
Anson McCade Pty - New York, New York, us, 10261
Work at Anson McCade Pty
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Overview
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. This range is provided by Anson McCade. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $150,000.00/yr - $200,000.00/yr Direct message the job poster from Anson McCade Principal Headhunter - Quantitative Strategies at Anson McCade
Senior High Frequency Futures Quantitative Trader (New York/ London) Company Overview Our client is a leading proprietary trading firm specializing in high-frequency, cross-asset futures trading. Leveraging cutting-edge technology and a world-class infrastructure, they are expanding their trading capabilities and are looking for a seasoned quantitative trader to help develop and scale new algorithmic trading strategies in the futures space. Role Overview This is a high-impact role for an experienced quant trader with a proven track record in developing and deploying high-frequency systematic strategies. You will play a key role in the full lifecycle of strategy development, from idea generation to execution and optimization, supported by a strong team of developers and engineers. Key Responsibilities Research, design, and implement high-frequency systematic trading strategies for futures markets Collaborate closely with software engineers to build, refine, and optimize trading infrastructure Identify and test new sources of alpha using proprietary and public datasets Analyze tick-level data to uncover inefficiencies and market patterns Develop tools for performance monitoring, data visualization, and signal analysis Continuously improve risk management, execution logic, and overall strategy performance Required Experience & Skills Minimum 5 years of experience in high-frequency trading with a focus on futures MSc or PhD in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Physics, or Engineering) from a top-tier institution Demonstrated success in independently developing and managing profitable trading strategies Deep understanding of statistical models, signal generation, and quantitative analysis Strong coding skills in Python and/or C++; experience working with large tick-level datasets Hands-on experience with back-testing frameworks, simulation environments, and production deployment Creative thinker with a passion for solving complex problems and uncovering new trading opportunities Why Join? Access to cutting-edge proprietary technology and low-latency infrastructure High level of autonomy and ownership over strategy development Supportive, collaborative environment with highly experienced peers Competitive compensation and performance-based incentives Seniority level
Seniority levelMid-Senior level Employment type
Employment typeFull-time Job function
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