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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 Master's 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
Skills:
Client Orientation, Empathy, Ethics, Innovation, Proactive Thinking

At BBVA we are leading the transformation of banking worldwide, united in pursuing our goal of bringing the age of opportunity to everyone. Firmly focused on the future, our on-going digital transformation is already producing disruptive innovations that power our vision of banking.
Every one of our 121,486 employees, from branch staff to senior leaders, plays an essential role in giving our 71.5 million customers the cutting edge banking solutions that they deserve. Building on 166 years of history we know the importance of constant development, which is why we place so much confidence in the collaborative working environment that enables our people to grow and excel.
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