Santander WM&I 2026 Summer Internship Program_ Global Asset Allocation_Madrid

Santander WM\&I 2026 Summer Internship Program\_ Global Asset Allocation\_Madrid Country: Spain **What you will gain from this experience** We have an exciting **2-month summer Internship** opportunity that will provide hands-on experience within our Global Asset Allocation (GAA) Team in Madrid. Interns will contribute directly to the Systematic/Quantitative pillar of the team, supporting the development of systematic investment models and tools used in multi-asset portfolio construction and monitoring. You will gain exposure to real investment processes, learn how quantitative research is translated into robust, production-grade tools, and collaborate closely with experienced quants on a broad range of initiatives—from research and backtesting to automation, reporting, and scalable implementation within our Strategic and Tactical Asset Allocation (SAA and TAA) activities. **Internship location** Based in Madrid, you will become part of an international business working with teams across different geographies. **What You Will Do** * Support quantitative research and prototyping of systematic models used in multi-asset investing, portfolio construction and monitoring (e.g., forecasting, signals, portfolio construction, back-testing, performance attribution). * Build and evaluate machine learning methods that enhance investment research and production workflows, with a strong focus on robustness, interpretability, and sound validation practices. * Prototype AI tools that streamline analysis and reporting, turning research outputs into scalable, production-ready components. * Help maintain and improve research codebases and analytics pipelines (data ingestion, cleaning, validation, and reproducible experiments). **What We Are Looking For** * Ready to start the two-month summer program in June 2026\. * Undergraduate finishing your studies in 2027 (Going into your final year at university or a master’s degree after the internship). * Strong analytical skills. * Confident using the Microsoft Office suite, in particular Excel. * Clear written and verbal communication. * Ability to plan your time and manage competing priorities within a fast-paced environment. * Strong Python skills for data analysis and modelling. * Solid foundations in machine learning, statistics, probability and optimization; familiarity with time series, stochastic modelling and Artificial Intelligence (LLMs) is a plus. * Experience with version control (Git) and good software engineering practices (clean code, testing, documentation). * Interest in applying AI/ML techniques to real-world financial problems. * Comfort working with data sources and databases, such as SQL and/or NoSQL (e.g., MongoDB). **Why Join Us** * Work on real, production-relevant quantitative projects within a multi-asset investment team, with direct exposure to how systematic research impacts portfolio decisions. * Learn from experienced practitioners and gain a broad view of advanced quant initiatives. * Build practical skills at the intersection of AI and investment management, from research to implementation, in a collaborative and international environment.