Vice President – Cross Analytics Global Markets

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 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

• 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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