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Associate - Risk & Resilience

McKinsey & Company

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, inclusive, team-driven environment
  • collaborative mindset
  • effective communicator
  • problem solving and analytical rigor
  • Python
  • R
  • SQL
Offerta di lavoro pubblicata 1 giorno fa
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