How we are: BBVA AI Factory’s DNA
We strive to bring the opportunities that Artificial Intelligence offers to the financial industry. Our mission is to provide BBVA business units with data products aligned with the bank’s strategic priorities, while helping to move forward on the path towards the future of banking.
Transforming a huge financial institution such as BBVA into a digital provider of knowledge-driven services is a complex process. For those of us who are part of BBVA AI Factory, this journey began almost a decade ago; nine years during which we have gained a better understanding of what Artificial Intelligence can offer a bank like BBVA.
AI is an area of knowledge that changes and evolves every day, especially in recent times. However, the way we approach new challenges is similar in most cases. Our values help us make decisions and move forward. They also reflect who we are and how we act.
A few months ago, we held an off-site to precisely think about the qualities that identify us and to focus on those that we believe are most important. The result is a set of ideas and behaviours that guide us in our day-to-day.
DNA AI Factory
Budge the needle
We apply Artificial Intelligence to those challenges with the greatest impact. We are bold in the approach and optimistic tackling obstacles. Creativity and innovation lead us to better places, and value emerges when we push the boundaries.
AI pathfinding
We explore new paths and follow those that include everyone. We are long-term thinkers by default, and our natural state is continuous learning. The challenges we have overcome make us confident of the road ahead.
Science powered
We’re ‘scinfluencers’. We prefer the power of a good question to the convenience of an ordinary answer. We’re intellectually curious and we evolve while standing by our ideas. Embracing failure is the only way to grow and do things even better.
Community-oriented
We’re open-minded and collaborative. Relationships are better when they’re fair and transparent. We’re caring and we enjoy the connections that arise within the community.
Be passionate
We stay positive. We are proud of every small achievement and we convey our passion in every interaction. For us, success is being able to do what we love and to inspire others.
BBVA values
BBVA’s core values make us recognize ourselves as a great institution present in more than 25 countries and with almost 90 million customers worldwide1.
 Customer comes first BBVA has always been customer-focused, but the customer now comes first before everything else. The Bank aspires to take a holistic customer vision, not just financial. This means working in a way which is empathetic, agile and with integrity, among other things. |
 We think big It is not about innovating for its own sake but instead to have a significant impact on the lives of people, enhancing their opportunities. BBVA Group is ambitious, constantly seeking to improve, not settling for doing things reasonably well, but instead seeking excellence as standard. |
 We are one team People are what matters most to the Group. All employees are owners and share responsibility in this endeavor. We tear down silos and trust in others as we do ourselves. We are BBVA. |
Customer comes first
BBVA has always been customer-focused, but the customer now comes first before everything else. The Bank aspires to take a holistic customer vision, not just financial. This means working in a way which is empathetic, agile and with integrity, among other things.
We think big
It is not about innovating for its own sake but instead to have a significant impact on the lives of people, enhancing their opportunities. BBVA Group is ambitious, constantly seeking to improve, not settling for doing things reasonably well, but instead seeking excellence as standard.
We are one team
People are what matters most to the Group. All employees are owners and share responsibility in this endeavor. We tear down silos and trust in others as we do ourselves. We are BBVA.
Chapters
At BBVA AI Factory we work in diverse teams made up of different disciplines, which we call Chapters.
| Data Science Data Scientists transform business questions into problems that can be addressed by Artificial Intelligence. They define, train and validate ML models that, when combined, produce answers in the form of predictions, classifications, optimizations or recommendations, among others, that are applicable to the specific business needs. |
Machine Learning Engineering They develop and apply software engineering standards and best practices on the existing analytical models. Software engineers participate in the entire development lifecycle, including deployment, maintenance, and monitoring in production environments. |
Solutions Architects They translate functional and business requirements and design the most appropriate platform solutions for deploying Artificial Intelligence, either by utilizing existing architectures or by enabling new technological capabilities. |
| Data Hub Data Developers and Data Analysts develop software applications for the analysis and correct management of data. Thanks to them, the rest of the teams can access the data with the appropriate quality and structure. |
Product They are responsible for leading the product strategy. They collaborate closely with business teams and customers to identify their needs and ensure the success of the product. They use key metrics to monitor performance and determine areas for improvement to maximize the value delivered. |
Lean Office They guide the entire organization to create value, ensuring the correct functioning of processes and redefining them in search of continuous improvement and maximum efficiency. |
Chapters
At BBVA AI Factory we work in diverse teams made up of different disciplines, which we call Chapters.
Data Science
Data Scientists transform business questions into problems that can be addressed by Artificial Intelligence. They define, train and validate ML models that, when combined, produce answers in the form of predictions, classifications, optimizations or recommendations, among others, that are applicable to the specific business needs.
Machine Learning Engineering
They develop and apply software engineering standards and best practices on the existing analytical models. Software engineers participate in the entire development lifecycle, including deployment, maintenance, and monitoring in production environments.
Solutions Architects
They translate functional and business requirements and design the most appropriate platform solutions for deploying Artificial Intelligence, either by utilizing existing architectures or by enabling new technological capabilities.
Data Hub
Data Developers and Data Analysts develop software applications for the analysis and correct management of data. Thanks to them, the rest of the teams can access the data with the appropriate quality and structure.
Product
They are responsible for leading the product strategy. They collaborate closely with business teams and customers to identify their needs and ensure the success of the product. They use key metrics to monitor performance and determine areas for improvement to maximize the value delivered.
Lean Office
They guide the entire organization to create value, ensuring the correct functioning of processes and redefining them in search of continuous improvement and maximum efficiency.
Join us
We are always on the look out for exceptional talent. Join us and help us make all the opportunities that AI offers into a reality. We look forward to hearing from you!