Experteer Overview In this role, you help clients navigate risk in a dynamic world by applying AI-based approaches and quantitative analysis. You will work with cross‑functional teams to identify vulnerabilities, build resilient strategies, and embed AI into governance and decision processes. You contribute to shaping risk management solutions across diverse industries, leveraging AI-driven tools to improve efficiency and outcomes. This is a mentorship‑driven, growth‑focused environment where your ideas matter and your development accelerates. Compensaciones / Ventajas • Collaborate with clients to identify vulnerabilities and address immediate risks using AI tools • Develop and validate quantitative models and frameworks that integrate AI and Agentic technologies • Implement risk analytics, scenario planning, stress-testing, and modeling to quantify risk exposures • Embed AI into operational workflows and decision‑making to strengthen governance and resilience • Drive client impact by delivering innovative,



practical risk solutions and improving risk management capabilities • Contribute to risk model lifecycle activities including development, implementation, testing • Support cross‑functional workstreams within a broader project, fostering inclusion and collaboration Responsabilidades • 2+ years of experience in risk management and/or risk quantitative analysis/modelling • Experience in a consultancy with risk focus or related banking/regulatory/compliance experience • Experience with AI agents or Agentic technologies • Familiarity with machine learning/AI (NLP, deep learning, anomaly detection); GenAI/LLM a plus • Strong conceptual problem-solving and quantitative modeling capabilities • Programming in Python or R; knowledge of SQL, NoSQL, Matlab, or SAS is advantageous • Willingness to travel • Fluency in English and local office language(s) Requisitos principales • competitive salary • comprehensive benefits package • global, diverse community • mentorship an

📌 Senior Consultant (Madrid)
🏢 McKinsey u0026
📍 Madrid