BBVA believes the knowledge derived from financial data can transform the banking industry and its role in the world. Therefore the Advanced Analytics area performs research in the application of AI to the banking industry. It that takes into account aspects such as bias mitigation, fairness and the ethical and secure usage of information. The privacy and protection of personal data is one of the top priorities, surpassing the legal requirements of the countries BBVA operates.
Fernández Tebar, Juan José
Líneas de investigación:
· Dynamic pricing
· Clustering / Segmentation
· Recommendation systems
Higuera Cabañes, Clara
Data scientist at BBVA Data & Analytics
Leiva Murillo, Jose M.
Líneas de investigación:
· Advanced portfolio optimization techniques
· Advanced pricing methods based on Machine Learning and Reinforcement Learning
Ariza Mayo, Victor
Risk & Opportunities of the transition to a low carbon economy
Díaz Lanchas, Adrián
Detecting illicit activity to minimize the spread of fraud in dynamic networks
Fernández Tebar, Juan José
Multi-product approach to pricing and customer-relationship management
Garcia Montiel, Conrado
“Multi-product dynamic pricing strategies with unlimited inventories”
García Muñoz, Luis Manuel
Application of Machine Learning Techniques in Quantitative Finance
Mahari, Thandiwe Irina
Soluciones de Machine Learning para modelos de Riesgo de Mercado complejos
Marin Martínez, Paloma
Predicción de rentabilidad y flujo adverso en mercados financieros y plataformas multi-contribuidas
Ojeda Trejo, Christian
Algorithmic market-making strategies with stochastic optimization techniques and reinforcement learning
Pencik, Göknil
Reshaping Quantitative Risk Management Metrics in Financial Industries with Deep Learning Applications
Renero Quintero, Jesús Salvador
Adding Causal Inference to Reinforcement Learning learning methods