15 ott - Milano
MckinseyItaly
Questa posizione è in McKinsey equip clients with the capabilities to respond to disruptions, embed contingencies into their strategies, and institutionalize enterprise risk management practices.
You will also leverage AI code assistants, agentic workflows, and advanced analytics to enhance decision-making, operational efficiency, and risk mitigation strategies.
You'll use data-driven scenario planning, stress-testing, advanced modeling techniques, and AI technologies to quantify risk exposures and evaluate strategies.
You will develop and validate models and frameworks that integrate AI and Agentic to provide deeper insights and predictive capabilities.
You will strengthen governance, processes, and organizational resilience by embedding AI into operational workflows and decision-making.
You will guide clients in navigating complex challenges while driving efficiency and innovation through AI adoption.
You will be part of a team that's shaping the future of risk management through the power of AI.
Your Background Master's degree required; advanced quantitative degree, computer science, mathematics/statistics, engineering, or financial engineering 2+ years of experience of experience risk management and/or risk quantitative analysis/modelling, and/or experience in a consultancy (with risk focus) and/or comparable experience in banking, risk regulation knowledge of SQL, NoSQL, Matlab, or SAS is a strong advantage Willingness to travel Language fluency skills to communicate complex ideas effectively – both verbally and in writing – in English and the local office language(s) --
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