Requirements:
MSc or PhD in Computer Science, Engineering, Mathematics, Finance, or a related field; advanced degree preferred.
Proven track record of leadership in a quantitative trading or financial technology environment, with at least 10 years of experience in a senior technology role.
Deep understanding of financial markets, quantitative trading strategies, and algorithmic trading systems.
Strong proficiency in programming languages such as Python, C++, Java, or similar, as well as experience with data analysis and machine learning libraries.
Expertise in designing and optimizing low-latency trading systems, high-frequency trading strategies, and market microstructure.
Experience with cloud platforms for example AWS, Azure, or Google Cloud Platform
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