Vice-President AA&AT Cross Analytics Global Markets

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BBVA is a global company with more than 160 years of history that operates in more than 25 countries where we serve more than 80 million customers. We are more than 121000 professionals working in multidisciplinary teams with profiles as diverse as financiers legal experts data scientists developers engineers and designers.

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Advanced Analytics & Algorithmic Trading (AA&AT) is a team of algo data and AI specialists at CIB Global Markets. We have the mission to support the transformation of our business into a more scientific data-driven and AI-enabled organization.

About the job:

In Advanced Analytics & Algorithmic Trading (AA&AT) at CIB Global Markets we have the mission to support the transformation of our business into a more scientific data-driven and AI-enabled organization. We have a rare opening for someone to help us develop this mission by taking a leading role as a Vice President leading our Cross Analytics team.

The Cross Analytics team is responsible for cross-asset advanced analytics artificial intelligence and business intelligence initiatives in Global Markets. A primary focus of the team is developing a holistic client-centric view of our business by leveraging data advanced analytics and AI to improve client engagement commercial effectiveness and strategic decision making. The team also acts as a center of excellence for AI adoption and productivity tools across Global Markets.

We are looking for someone with strong expertise in client analytics marketing analytics data science and AI combined with a business-oriented mindset and an entrepreneurial spirit. The successful candidate will have the opportunity to work in exciting areas such as:

• Development of client-centric analytics capabilities across all Global Markets asset classes creating a unified view of client activity behavior profitability and engagement

• Implementation of advanced analytics models for sales and client management including customer lifetime value (CLV) client profitability propensity models next-best-action recommendations churn prediction and cross-sell opportunities

• Design and deployment of client segmentation frameworks based on behavioral commercial and transactional data

• Development of business intelligence solutions dashboards and management reporting to support commercial strategy client coverage and business performance monitoring

• Integration of analytics and AI models into CRM platforms such as Salesforce to enhance sales workflows campaign management and relationship management processes

• Deployment of agentic AI solutions and intelligent assistants to support sales teams relationship managers and management functions

• Identification and implementation of AI productivity and efficiency tools across Global Markets including the adoption of technologies such as ChatGPT and other generative AI platforms

• Collaboration with sales trading management technology and data teams to identify business opportunities and translate them into scalable analytical and AI solutions

• Day-to-day engagement with senior stakeholders to understand business objectives communicate analytical insights and drive adoption of data-driven decision making

The ideal candidate will have the following qualifications:

• A Masters degree in Statistics Mathematics Computer Science Engineering Economics Marketing Analytics Data Science or a related quantitative discipline. A PhD will be valued

• 7 years of experience in advanced analytics marketing analytics customer analytics data science or AI roles within financial services or a similarly data-intensive industry

• Proven experience leading analytical initiatives focused on client behavior commercial effectiveness and customer value optimization

• Strong knowledge of customer analytics methodologies including customer lifetime value propensity modeling segmentation targeting recommendation systems and campaign analytics

• Strong business intelligence and data visualization capabilities with experience delivering executive-level reporting and decision-support tools

• Experience working with CRM platforms particularly Salesforce including the integration of analytics AI models and workflow automation capabilities

• Knowledge of agentic AI frameworks AI copilots and intelligent workflow automation solutions within CRM or commercial environments

• Strong programming skills in Python and practical experience with modern machine learning and AI frameworks

• Practical knowledge of cloud and big data technologies data engineering concepts and modern analytics architectures

• Experience building Generative AI and agentic AI applications and deploying them in business environments

• Strong communication and stakeholder-management skills with the ability to translate analytical concepts into business impact

• Entrepreneurial mindset and ability to drive change in a fast-paced environment

• Good English level. Spanish is valuable but optional; we welcome international applications

• The ability to work under pressure manage multiple priorities and engage effectively with senior business stakeholders

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