Algo Quant/Developer, Trading Research
April 28
🏢 In-office - Manhattan
Description
• Research and develop in-house trading strategies, used by both discretionary and quantitative traders • Conduct quantitative research on market microstructure, applying knowledge to improve trading algorithm and identify market anomalies • Collaborate with cross-functional teams to design and implement solutions for the trading strategies • End-to-end development, including alpha idea generation, data processing, strategy backtesting, optimization, and production implementation • Maintain and improve portfolio trading in a production environment • Contribute to the analysis framework for scalable research
Requirements
• BS, MS or PhD in mathematics, statistics, machine learning, computer science, engineering, quantitative finance, or economics • Minimum of 3 years of experience in trade execution development or research for futures or cash equities • Proficiency in programming languages such as Python or C++ • Fluency in data science practices, e.g., feature engineering. Experience with machine learning is a plus • Experience with signal blending and portfolio construction • Highly motivated, willing to take ownership of his/her work • Collaborative mindset with strong independent research abilities • Commitment to the highest ethical standards
Benefits
• Competitive salary • Health insurance • Retirement plan contributions • Paid time off
Apply Now
