Associate - Risk & Resilience
Pubblicato il 18-09-2026 - Mckinsey in Monza
Overview In this role you guide client projects in risk and resilience, leveraging analytics to quantify and mitigate risk across industries. You will work within a European practice hub, collaborating with global clients to strengthen governance, risk data capabilities, and contingency planning. The work spans core risk and risk analytics, enabling data-driven scenario planning and advanced modeling. You will join a high-performance culture that emphasizes continuous learning, ethics, and diverse perspectives to deliver sustainable growth.
Retribuzione / Benefits
- competitive salary
- comprehensive benefits package
- continuous learning and apprenticeship programs
- mentorship and career development
- global collaboration with 65+ countries
- diverse and inclusive work environment
Responsabilità
- Guide clients through uncertainty by addressing gaps across risk management dimensions
- Contribute to enterprise risk management enhancement and governance improvements
- Support data-driven scenario planning, stress-testing, and model development/validation (analytics focus)
or strengthen governance and resilience (core risk focus)
- Translate insights into actionable strategies and institutionalize risk capabilities for client organizations
- Collaborate with cross-functional teams across a global client base to deliver solutions
- Embed contingencies within long-term strategies to navigate disruptions
Requisiti fondamentali
- 4+ years in risk management/quantitative analysis or risk-focused consultancy experience
- Master’s degree; advanced quantitative field preferred
- Experience with risk model lifecycle (development, implementation, testing)
- Programming in Python or R; SQL/NoSQL knowledge is a plus
- Familiarity with machine learning/AI concepts and GenAI/LLM is advantageous
- Strong analytical and quantitative modeling expertise
- Excellent verbal and written communication in English and local language(s)
- Ability to travel and work in a collaborative, incl