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Serhat Başkurt is an investment professional specializing in high-frequency and algorithmic trading strategies across spot and derivatives markets. Born in 1998 in Çanakkale, Turkey, he most recently served as a Portfolio Manager at ALB World between 2022 and April 2025. In this role, he led the design and execution of systematic trading strategies for qualified investors, particularly in Turkish equity and futures markets. He began his career at Marbaş Securities in 2020 as a High-Frequency Trader, where he developed real-time trading algorithms focused on pricing anomalies and volatility arbitrage. His work contributed to significant volume growth and performance optimization in proprietary trading operations. Mr. Başkurt holds a Bachelor’s degree in Business from Gelişim University (Cum Laude) and is currently pursuing a Master’s degree in Financial Economics at Galatasaray University. His academic training covers financial econometrics, derivatives markets, decision theory, and macroeconomic analysis. He is focused on building consistent return models through systematic approaches that balance speed, efficiency, and market insight.
Serhat Başkurt is an investment professional specializing in high-frequency and algorithmic trading strategies across spot and derivatives markets. Born in 1998 in Çanakkale, Turkey, he most recently served as a Portfolio Manager at ALB World between 2022 and April 2025. In this role, he led the design and execution of systematic trading strategies for qualified investors, particularly in Turkish equity and futures markets. He began his career at Marbaş Securities in 2020 as a High-Frequency Trader, where he developed real-time trading algorithms focused on pricing anomalies and volatility arbitrage. His work contributed to significant volume growth and performance optimization in proprietary trading operations. Mr. Başkurt holds a Bachelor’s degree in Business from Gelişim University (Cum Laude) and is currently pursuing a Master’s degree in Financial Economics at Galatasaray University. His academic training covers financial econometrics, derivatives markets, decision theory, and macroeconomic analysis. He is focused on building consistent return models through systematic approaches that balance speed, efficiency, and market insight.
