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