OverviewIn 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 / Benefitscompetitive salary
comprehensive benefits package
continuous learning and apprenticeship programs
mentorship and career development
global collaboration with 65+ countries
diverse and inclusive work environment
ResponsabilitàGuide 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 fondamentali4+ 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
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