29 English-speaking jobs in Santander

Leads a front office digital assets team within the Cash Management Business of Global Transaction Bank. Responsible for leading the digital assets strategy for GTB, applying digital assets to a full range of cash management solutions. Collaborates with clients, front office sales, origination, product, technical, and operational teams. Reports to senior management and stakeholders.

Global Cash Management Executive Director to define and execute global cash management strategy, lead a team of 3-5 professionals, and advise multinational clients on liquidity, payments, and treasury solutions. Requires 8-10 years of experience in corporate banking, cash management, or strategic consulting, strong technical knowledge of cash management solutions, and proven leadership experience.

Santander Corporate & Investment Banking seeks a XVA Trader in Madrid. Responsibilities include daily calculation and analysis of valuation adjustments on OTC derivatives portfolios, management of market risk, and interaction with various teams to ensure accurate implementation of valuation, pricing, and risk management processes.

Supports liquidity risk identification, measurement, and optimization. Contributes to funding strategy analysis, pricing strategies, and regulatory metric adaptation. Produces dashboards, analytics, and reports to track liquidity trends. Works closely with internal stakeholders.

Data Engineer will design and implement cloud and data solutions, define target architectures, and guide teams through practical delivery using modern engineering best practices. Responsibilities include developing cloud-native architectures on AWS, operating large-scale data platforms, and bringing modern software engineering practices. Strong written and verbal communication skills are required.

Senior AI Scientist will lead and manage the local implementation and evolution of Santander's AI Knowledge Base, focusing on knowledge representation, graph systems, and agent-ready data structures. Responsibilities include designing, developing, and maintaining local instances of the Knowledge Base, ensuring data is connected, semantically described, and accessible to AI agents. The role requires 5-10 years of experience in AI, data science, or machine learning systems, strong expertise in knowledge representation, graph modeling, and practical background in machine learning and modern AI architectures.

Leads and manages strategic AI initiatives, ensuring AI solutions create measurable value. Develops, tests, validates, and translates emerging AI methods into products. Collaborates with engineering, validation, governance, and product teams.

Platform Engineer needed for a cloud-native environment. Requires extensive experience in platform engineering, AWS, IaC tools (Terraform), Docker, Kubernetes, networking, load balancing, and CI/CD pipelines. Must have strong problem-solving and communication skills.

Senior AI Scientist will research, design, and implement advanced AI algorithms to solve complex problems. Responsibilities include translating business challenges into scientific problem statements, building AI prototypes and models, and collaborating with stakeholders to deploy solutions. Requires 5-8 years of experience, a PhD or MSc in a relevant field, fluency in English, and strong programming skills in Python or similar languages. Expertise in Generative AI, large language models, and scalable AI infrastructure is essential.