As a Quantitative Trading Strategist, you will leverage deep market knowledge and quantitative skills to enhance systematic trading strategies, focusing on algorithmic execution, securities lending, and portfolio financing across various asset classes.
160k – 200k/yr
Hybrid3+ YOEData Science
About the role
Responsibilities
Measure and improve algorithmic execution quality across asset classes
Conduct high quality research across a variety of market related topics and asset classes. Create relevant reports and present findings across teams
Write high-quality production level code. Design and develop new packages, data pipelines and production trading applications
Collaborate with trading and RnD team members to improve our trading strategies
Provide domain expertise in market microstructure across asset classes to other members of trading and RnD
Manage relationships with external brokers and trading partners
Requirements
3+ years of experience in a quantitative trading environment with an emphasis on quantitative research
Bachelor’s degree in a scientific or quantitative discipline
Highly capable in Python, R, and SQL; with the ability to write production level code and develop across teams
Proficient in basic statistics with an ability to apply valid statistical methods to judge outcomes from real-world data
Comprehensive understanding of market micro-structure and a passion for markets
Ability to effectively communicate across teams and present research findings in a clear and concise manner
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