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.

Connect with us:

• Website: https://thedatastorytellers.com/

• LinkedIn: https://www.linkedin.com/company/the-data-storytellers

• Spotify: https://open.spotify.com/show/2N0vZtHZHgod4Tll2LX2xa

• YouTube: https://www.youtube.com/channel/UCz9e56lhYUfORiOHMiLlPmA

• Apple Podcast: https://podcasts.apple.com/gb/podcast/the-data-storytellers-podcast/id1493766476

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