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In this role, you help clients navigate risk through AI-driven approaches, shaping strategies and governance. You will work with cross-functional teams to embed AI into risk management, unlocking deeper insights and resilient operations. The position sits at the intersection of risk practice and advanced analytics, offering growth through structured learning and mentorship. You will contribute to client outcomes while advancing our capabilities in AI-enabled risk management.
Compensaciones / Incentivos
• Collaborate with clients to identify vulnerabilities and build long-term resilience using AI-powered tools
• Equip clients to respond to disruptions and institutionalize enterprise risk management practices
• Leverage AI code assistants, agentic workflows, and advanced analytics to enhance decision-making and risk mitigation
• For Risk Analytics: apply data-driven scenario planning, stress-testing, and advanced modeling to quantify risk exposures
• Develop and validate models integrating AI and Agentic technologies for deeper insights
• For Risk: strengthen governance and operational resilience by embedding AI into workflows and decision-making
• Guide clients in navigating complex challenges while driving efficiency and innovation through AI adoption
• Join a team shaping the future of risk management with AI
Responsabilidades
• Master's degree required with a quantitative focus
• 2+ years of experience in risk management, risk analytics/modelling, or risk consultancy
• Experience with AI agents or Agentic technologies
• Familiarity with machine xqbhyrx learning/AI (NLP, deep learning, anomaly detection); GenAI/LLM a plus
• Strong conceptual problem-solving and quantitative modeling skills
• Ability to work collaboratively and drive independent workstreams within a team
• Experience with risk model lifecycle (development, implementation, te
📌 Senior Consultant (Madrid)
🏢 McKinsey u0026
📍 Madrid
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