Overview
In this role, you help clients manage risk and build resilience using AI-driven approaches. You will work on risk analytics, policy and governance, and enterprise risk management across industries, collaborating with cross-functional teams to deliver measurable impact. The position combines advanced modeling with AI tools to quantify risk, stress-test scenarios, and improve decision-making. You will grow through structured learning, mentorship, and exposure to a global client base, shaping how organizations respond to disruption.
Retribuzione / Benefits competitive salary
comprehensive benefits package
structured learning and apprenticeship
mentorship and global collegial network
Responsabilità Collaborate with clients to identify vulnerabilities and address immediate risks
Apply AI-powered tools and agentic workflows to enhance risk management and resilience
Develop and validate models integrating AI/Agentic approaches for deeper insights
Support governance,



processes, and risk culture through improved decision-making and controls
Contribute to risk data management, analytics, and digitization initiatives
Participate in cross-functional client projects and knowledge-sharing activities
Requisiti fondamentali Master’s degree in a quantitative field or related discipline
2+ years in risk management, quantitative analysis/modelling, or risk-focused consultancy
Experience with AI agents or agentic technologies
Proficiency in Python or R; knowledge of SQL/NoSQL/Matlab/SAS is a plus
Willingness to travel
Strong communication in English and local office language(s)
Collaborative teamwork
Strong analytical thinking
Adaptability and resilience
AI/GenAI/LLM awareness
NLP and deep learning
Quantitative risk modelling

📌 Senior Consultant (Monza)
🏢 Mckinsey
📍 Monza