Julie Schwarz, a senior financial technology consultant with over ten years of cross-border financial experience, specializes in AI-driven quantitative trading strategies and risk management. She has established a solid professional reputation in the financial technology field.
In 2024, Ms. Schwarz led the design of the world’s first AI moat system for retail investors, successfully helping clients avoid potential losses of over 700 million euros during the market black swan event of that year. At the same time, she built a dynamic hedging model based on deep learning technology, which increased her clients' portfolio Sharpe ratio by 2.3 times, optimizing the overall risk-adjusted returns.
Additionally, Ms. Schwarz innovatively developed a hybrid strategy combining "smart beta + machine learning factors," which outperformed the STOXX Europe 600 Index by more than 15% annually for two consecutive years, further promoting the deep application of AI technology in the investment field.
As of now, Ms. Schwarz has helped numerous individual investors navigate through market volatility, with an average annual return rate of 80%, showcasing AI’s potential in enhancing personal investment effectiveness.
Katrina McCarthy, a financial technology analyst, said: “We believe the combination of AI technology and financial innovation will provide sustainable and resilient growth momentum for global investors.”
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