Role Overview
As a member of Oliver Wyman's Data & Analytics team, you will collaborate with colleagues and clients at all levels from day one, helping clients solve their most pressing challenges. Your work will involve designing tailored solutions for analytical challenges, implementing prototypes, assessing effectiveness, and engaging in discussions to share ideas. Your contributions will be pivotal to delivering impactful results for our clients.
Developing an NLP‐based machine‐learning toolkit to predict credit rating downgrades using news articles.
Modelling portfolio decarbonisation strategies leveraging advanced analytics techniques for large European banks.
Optimising and developing a promotional program for an Asian health & beauty chain using data from historical promotions.
Validating a customer‐facing GenAI chatbot for an American bank.
Developing probability of default and loss models in Python for European and UK‐based banks.
Identifying supply chain risks by combining multiple live data feeds and applying a bespoke AI‐based risk methodology.




Developing a next best action model to reduce customer churn for a global telecom company.
Who Can Apply
Bachelor's, Master's, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, Engineering, etc.).
Data‐driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data‐science concepts in an understandable manner to clients and colleagues.
Ideally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologies.
Strong commitment to teamwork and resilience in a creative and constantly changing environment.
Excellent command of the English and Italian language (verbal and written).
Interest and experience in financial services and risk management is a plus.
At least 2 years of previous working experience in specialised consulting firms,

📌 Oliver Wyman (Italia)
🏢 Altro
📍 Italia