Senior Consultant - Risk & Resilience

McKinsey & Company; Milano; In loco; EUR 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

McKinsey & Company in Milano seeks a Risk Analytics professional to help global clients navigate uncertainty using AI and advanced risk modeling.

You will work across risk areas, collaborate with clients, and contribute to building enterprise risk capabilities; travel as needed, and communicate complex results clearly.

Competenze

• Master's degree in a quantitative field (engineering, statistics, CS) or finance.

Mansioni

• Apply AI-driven risk analytics to client projects and advise on risk strategy.

Conoscenze

Risk management

Quantitative analysis

AI/Agentic technologies

Machine learning experience

Problem solving

Team collaboration

Willingness to travel

English communication

Formazione

Master’s degree in quantitative field

Strumenti

Python

R

SQL

NoSQL

Matlab

SAS

Descrizione del lavoro

Who You’ll Work With

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

Who You’ll Work With

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

• Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

Your Impact

You will work at the intersection of risk management and artificial intelligence (AI), helping global clients across diverse industries navigate an increasingly dynamic and uncertain world.

You will play a pivotal role in leveraging innovative approaches, including AI-driven solutions and agentic technologies where applicable, to address a wide range of risk areas, such as credit risk, advanced risk analytics, crisis response, risk data & digitization, operational risk, compliance & controls, enterprise risk management, risk culture, trading, balance sheet risk, and regulatory challenges.

Your work may span all areas of Risk or focus on Risk Analytics, depending on your expertise, interests, and team needs.

You’ll collaborate with clients to identify vulnerabilities, address immediate risks, and build long-term resilience using AI-powered tools and frameworks; 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 Qualifications and Skills

• 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 & compliance, capital markets, market risk, treasury & balance sheet management, trust & safety, insurance, non-financial risk, and ESG
• Experience with AI agents or Agentic technologies
• Familiarity with machine learning/AI (e.g., NLP, deep learning, anomaly detection) and GenAI/LLM is a plus
• Exceptional conceptual problem-solving skills, along with deep analytical expertise and quantitative modeling experience, are highly valued
• Ability to work collaboratively in a team and create an inclusive environment with people at all levels of an organization and capability to drive an independent workstream in the context of a broader team project
• Experience with risk model lifecycle activities (development, implementation, testing) and programming in Python, R, or similar; 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)