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Quantitative Researcher role in Zurich focuses on developing and optimizing systematic high-frequency trading strategies across international markets, with a special focus on Asia. You will work with trading and engineering teams to design, backtest, and deploy low-latency algorithmic strategies.
You should have 2+ years in quantitative research or algorithmic trading, strong programming skills, and experience applying ML to high-frequency financial data.
An established trading firm is seeking an experienced Quantitative Researcher to join its high-frequency trading (HFT) team in Zurich.
They are looking for a skilled Quantitative Researcher with experience developing systematic trading strategies, particularly across Asian financial markets.
Python, C, C++, Quantitative Research, High-Frequency Trading (HFT), Algorithmic Trading, Systematic Trading, Machine Learning, Statistical Modelling, Market Microstructure, Alpha Research, Predictive Modelling, Order Book Data, Tick Data, Backtesting, Low-Latency Trading, Asian Markets, Equities, FX, Commodities, Quant Researcher, Quantitative Trader, Quantitative Developer.
As a Quantitative Researcher, you will research, develop, and optimise systematic high-frequency trading strategies across international financial markets, with a particular focus on Asia.
The Quantitative Researcher will collaborate with trading and engineering teams to research, develop and optimise high-performance algorithmic trading strategies.
Due to the high number of applications, we may not be able to respond to everyone, but we truly appreciate the time and effort taken to apply and will be in touch with shortlisted candidates.