Responsibilities

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 General 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

Requirements

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.

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📌 Vice President – Cross Analytics Global Markets (Madrid)
🏢 Jobtailor
📍 Madrid