Quantitative Trading and Research - Quantitative Trader - Associate
On-site · New York City, New York, United States
Job Summary
Associate/VP in Automated Trading Strategies in US Treasuries building systematic trading strategies using quantitative and ML approaches. Contribute to data-driven analysis, back testing, and pricing/risk/execution strategy development. Expand the group’s analytics, modelling, and automation tools; review trading performance; maintain and improve trading software; resolve day-to-day trading issues. Requires an advanced quantitative degree, strong programming in C++/Java, solid statistics and ML knowledge, and the ability to collaborate across a globally distributed team. Preference for experience in eTrading US Treasuries and/or Central Risk Book, understanding data flows across applications, and familiarity with Rates markets; knowledge of KDB+/q also listed as advantageous.
Required Qualifications
- Advanced Degree in computer science, math, physics, engineering, or other quantitative fields
- Relevant full-time experience
- Ability to demonstrate strong programming skills in C++/Java or other object-oriented languages
- Strong knowledge of statistics and machine learning
- Attention to detail, adaptable, driven and collaborative
- Demonstrate interest in markets and systematic trading
- Prior experiences in eTrading in US Treasuries and/or Central Risk Book (preferred)
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