Responsibilities
Si desea saber un poco más sobre esta oportunidad, o está considerando presentar su candidatura, por favor, lea la siguiente información del puesto.

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- Development of client-centric analytics capabilities across all Integral 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

Requirements

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- 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. xhfqzwm 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