Who You'll Work With You'll join our global Risk & Resilience Practice in one of our European offices and be part of the Risk Analytics team.
Risk Analytics is the tech-enablement power engine of Risk & Resilience.
We combine deep analytical and technical expertise with distinctive strategy and transformation capabilities to support clients in everything - from large-scale analytics programs to in-depth technical modelling exercises.
We develop and deploy leading-edge solutions incorporating the latest innovations in methodology and technology and maintain in-depth knowledge of regulatory developments.
We convene leaders in the industry to build and share knowledge to drive long-term sustainable change in the practice of risk data and analytics.
We have over 18 years of expertise serving leading institutions across industries in the fields of model development, model advisory, model validation, and model risk management.
We are a diverse global community of world-class practitioners with a shared passion to build risk analytics capabilities that break new ground, transform industries, and shape markets.
We solve real life business problems for our clients; work with us and you will learn from the best and have your voice heard from day one.
Your impact within our firm You will help clients develop or validate their models and assess their modeling frameworks supporting a variety of risk functions, including credit, market, insurance, ESG or model risk management.
You will be part of a team of exceptional risk analytics professionals with similarly deep industry experience and will be expected to communicate complex analytics concepts in a clear and concise manner to key client stakeholders.
We are therefore looking for candidates who can establish connections between sophisticated modeling techniques and strategic decision-making processes.
We have a global client base and you will be exposed to a highly international environment.
You will also have the opportunity to advance McKinsey's overall knowledge base by providing rigorous analysis to and problem solving for our proprietary knowledge investments.
At more senior levels, you'll also focus on developing new analytical approaches and techniques such as AI or GenAI, working with an outstanding knowledge structure and international network of experts in order to codify existing knowledge and develop new knowledge.
Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis, while continuously building your methodological knowledge and skills.
#LI-MP Your qualifications and skills Bachelor's degree required; advanced quantitative degree (master's or Ph.D. in computer science, mathematics/statistics, engineering, or financial engineering) would be a plus2+ years of relevant experience in risk quantitative analysis/modelling to solve real world problemsExperience across model lifecycle, including active participation in activities of development, implementation and/or testing of risk models (vendor or "in-house" models)First experience in programming (beyond simple scripts) in a modern scientific language (e.g., Python, R); knowledge of SQL, NoSQL (e.g.
MongoDB, Ignite), Matlab or SAS would be a strong plusExperience in one of the following machine learning / AI areas: natural language processing, deep learning, anomaly detection, graph-based techniques would be a strong plusExperience with the use of GenAI and Large Language Model would be a strong plusAbility to work collaboratively in a team environment and effectively with people at all levels in an organizationExceptional communication skills - especially around translating technical knowledge into forms that can be digested by leadership and non-technical project teams-, verbally and in writing, in English and the local office language(s)Willingness to travel
#J-18808-Ljbffr