10 ago - Italia
Altro
Overview In this role you help clients strengthen risk management using AI-driven approaches. You collaborate with cross-functional teams to identify vulnerabilities and embed resilient strategies, while leveraging advanced analytics and agentic technologies to improve decision-making. You'll work across risk domains or in Risk Analytics, shaping practical solutions for complex regulatory and operational challenges. This is a high-impact, growth-focused opportunity in a diverse, global firm that values continuous learning and ethical contributions.
Benefits 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 practices
Leverage AI code assistants, agentic workflows, and advanced analytics to enhance decision-making and efficiency
For Risk Analytics: use data-driven scenario planning, stress-testing, and advanced modeling to quantify risk exposures and evaluate strategies
For Risk: strengthen governance and embed AI into operational workflows and decision-making
Guide clients in navigating complex challenges while driving efficiency and innovation through AI adoption
Responsibilities 2+ years of experience in risk management or risk quantitative analysis/modelling
Experience in a consultancy with risk focus or in related banking/regulatory roles
Experience with AI agents or Agentic technologies
Familiarity with machine learning/AI (NLP, deep learning, anomaly detection); GenAI/LLM a plus
Strong quantitative modeling, analytical skills, and problem-solving
Programming in Python or R; knowledge of SQL, NoSQL, Matlab, SAS is advantageous
Strong communication skills in English and local office language
Willingness to travel
Requisiti fondamentali competitive salary
comprehensive benefits package
global learning and apprenticeship culture
mentorship and development
structured programs for growth
diverse and inclusive environment
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