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Job description
The algorithmic trading team at GTS is seeking a Quant Researcher to evaluate, optimize, and produce analytics to improve the performance of algorithmic execution strategies. The successful candidate will work closely with traders and developers to refine these processes in support of revenue-generating trading algorithms.
Develop a deep understanding of algorithmic trading strategies, market microstructure, trading infrastructure, trading system, and evaluation metrics. Design and implement processes that can be automated and scaled, handle production problems that arise in real-time, and contribute views on how complex systems should be best organized and managed.
The successful candidate will be part of a new green field team in our algorithmic trading business, collaborating closely with traders on proprietary trading opportunities. The role requires 3-5 years of experience with algorithmic trading systems and models, a B.S./M.S. from a leading university in a STEM discipline, and deep understanding and ability in mathematics and statistics.
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Company
Finance • Tech, Software & IT Services
GTS is a leading financial services company offering a range of asset classes and investment approaches. Leveraging market expertise with innovative AI systems and sophisticated pricing models, GTS ensures consistency, efficiency, and transparency in the financial markets. As a major electronic market maker, GTS Securities handles 3-5% of daily cash equities volume in the U.S., making it a key player and Designated Market Maker at the New York Stock Exchange.