Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

Within Oliver Wyman, the Data and Analytics (DNA) division was established in 2017 and is operating across the entire world, with a focus on Europe. We are a dynamic and rapidly growing team of quantitative analytics specialists, collaborating closely with colleagues across the firm to cover a global footprint, working across multiple industries including, but not limited to, Financial Services, Climate & Sustainability, Energy, Retail, and Transportation.

We believe in the power of diverse perspectives and collaborative teams to drive innovation. As a member of Oliver Wyman’s Data & Analytics team, you will collaborate with colleagues and clients at all levels from your very first day, helping clients solve their most pressing challenges. Notable projects include:

- Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – [*click here for more information*](
- Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks
- Optimizing and developing a promotional program using data from historical promotions for an Asian health & beauty chain by deploying a promotion analytics toolkit
- 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 developing and applying a bespoke AI based risk methodology – [*click here for more information*](
- Developing a next best action model to reduce customer churn for a general telecom company
- *Expect a steep learning curve, as no two projects are ever the same. We also care deeply about sustainable work-life quality, providing you with the flexibility to balance your career aspirations with your personal life.

Final year students or recent graduate with Bachelor, Master 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
- Excellent command of the Spanish or Portuguese and English languages (verbal and written).
- Oliver Wyman is a business of Marsh (NYSE: MRSH),



a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. In accordance with Section 40.2 of the Royal Legislative Decree 1/2013, of 29 November, approving the Consolidated Text of the General Act on the Rights of Persons with Disabilities and their Social Inclusion, Marsh will provide a reasonable accommodation to employees and prospective employees up to the point of undue hardship as required for the individual’s particular restrictions and limitations.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

--

📌 Senior Data Analyst (remote) (Madrid)
🏢 Oliver Wyman
📍 Madrid