Exploring the Frontiers of Financial Data Science | Javier Sabio (Head of Advanced Analytics at BBVA)
On this episode of The Data Storytellers podcast, we dive into the world of financial data analytics with Javier Sabio, who brings a unique perspective from his background in theoretical physics to his role in finance. Javier discusses the integration of advanced analytics and algorithmic trading in the financial sector, explaining how these tools are transforming decision-making processes at BBVA. He sheds light on the impact of machine learning and AI on financial strategies, the challenges of implementing new technologies, and the importance of ethical considerations in data usage. Join us as we explore how data science is reshaping the landscape of financial services, providing new opportunities for innovation and efficiency.
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00:08 - Introduction to Javier Sabio and his role at BBVA
01:24 - Background in theoretical physics and transition to finance
06:37 - Early experiences with quantitative analysis in finance
15:21 - The shift towards algorithmic trading and the role of data science
24:45 - Impact of machine learning and AI in the financial sector
33:44 - Challenges and opportunities in adopting new data technologies
40:15 - Future trends in financial analytics and potential disruptions