Quantitative Researcher

Responsibilities

• Develop mid-frequency systematic trading strategies using rigorous statistical methods
• Implement trading models based on novel predictions of market behavior
• Contribute to alpha generation, portfolio construction, optimization, and trade execution algorithms
• Prototype research and write production-level code to implement ideas

Requirements

• 3+ years of prior work experience in stat-arb
• Degree in a quantitative or technical discipline (e.g., statistics, computer science, physics, mathematics, economics)
• Demonstrated ability to conduct research using large noisy real-world datasets
• Proficiency in Python for data analysis and machine learning
• Strong numerical programming skills

Preferred Qualifications

• Experience with C++

About the Company

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development, where researchers are at the forefront of innovation in algorithmic trading.