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Advanced Analytics - BBVA

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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.

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INVITED MEMBERS

 

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Advanced Analytics - BBVA_clara_higuera

Clara Higuera Cabañes

Higuera Cabañes, Clara
Data scientist at BBVA Data & Analytics

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Leiva Murillo, Jose M.

Research lines:
- Advanced portfolio optimization techniques
- Advanced pricing methods based on Machine Learning and Reinforcement Learning

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INDUSTRIAL DOCTORATES

 

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Ariza Mayo, Victor

Risk & Opportunities of the transition to a low carbon economy

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Díaz Lanchas, Adrián

Detecting illicit activity to minimise the spread of fraud in dynamic networks

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Juan José Fernández Tebar

Fernández Tebar, Juan José

Multi-product approach to pricing and customer-relationship management

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Conrado Garcia Montiel

Garcia Montiel, Conrado

"Multi-product dynamic pricing strategies with unlimited inventories".

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García Muñoz, Luis Manuel

Application of Machine Learning Techniques in Quantitative Finance

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Mahari, Thandiwe Irina

Mahari, Thandiwe Irina

Machine Learning Solutions for Complex Market Risk Models

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Paloma Marin Martínez

Marin Martínez, Paloma

Profitability and adverse flow forecasting in financial markets and multi-contributor platforms

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Christian Ojeda Trejo

Ojeda Trejo, Christian

Algorithmic market-making strategies with stochastic optimization techniques and reinforcement learning

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Goknill Pencik

Pencik, Göknil

Reshaping Quantitative Risk Management Metrics in Financial Industries with Deep Learning Applications

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Jesus Salvador Renero

Renero Quintero, Jesús Salvador

Adding Causal Inference to Reinforcement Learning methods

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