Oliver Wyman - (Senior) Analyst - Data & Analytics 2027 - Madrid

Marsh McLennan is hiring an Oliver Wyman - (Senior) Analyst - Data & Analytics 2027 - Madrid (Spain). Level rates it ; you can apply on Marsh McLennan.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
The posting mentions Python, GenAI and NLP among its tools and skills.
Level classes it as a senior role.
Marsh McLennan has 633 other open roles on Level.

AI in this role

Develop advanced data and analytics solutions, including machine learning models and GenAI chatbot validation, as a consultant.

pythongenai

nlpdata-analyticsmachine-learningquantitative-modeling

Company:

Oliver Wyman

Description:

Who We Are

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. Our team comes from a wide range of backgrounds and experiences, and we embrace the unique skills and insights they bring to our work. At Oliver Wyman and within DNA, we are proud of the values we uphold that guide us every day in how we work and collaborate. We are committed to fostering an inclusive environment where everyone can thrive and reach their full potential.

What You Will Do

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. Our DNA team is committed to developing tailored solutions for clients around the globe, including designing potential solutions for analytical challenges, implementing various prototypes while also assessing their effectiveness, and engaging in discussions with clients and colleagues to share ideas. Your contributions will be invaluable to delivering impactful results for our clients.

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 global telecom company

Why Join Us?
Expect a steep learning curve, as no two projects are ever the same. You’ll have the opportunity to travel internationally, gaining invaluable experiences and insights across different cultures and with access to the latest technologies, you’ll constantly expand your toolkit with each new endeavor.

You won’t be alone on this journey; various colleagues will guide and coach you throughout your career. You’ll have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path. We also care deeply about sustainable work-life quality, providing you with the flexibility to balance your career aspirations with your personal life.

This role will empower you to embrace your curiosity and step out of your comfort zone. You will have the opportunity to work alongside genuine colleagues who measure success by the lasting impact we create together. If you’re excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard!

Who Can Apply?

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
Strong commitment to teamwork and resilience in a creative and constantly changing environment
Excellent command of the Spanish or Portuguese and English languages (verbal and written).
Interest and experience in financial services and risk management is a plus

How to Apply?
Please submit your CV, cover letter and transcripts. If you would like to find out more information about Oliver Wyman, please visit our website or alternatively, apply to attend one of our events, details of which can be found here.

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. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. 

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.

How we rate this

Oliver Wyman - (Senior) Analyst - Data & Analytics 2027 - Madrid at Marsh McLennan rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Oliver Wyman - (Senior) Analyst - Data & Analytics 2027 - Madrid is an open job at Marsh McLennan.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Madrid - Castellana.
The job was posted on August 31, 2026.
Seniority: senior.
Applications are handled by Marsh McLennan. Apply on Marsh McLennan

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

NLPData AnalyticsMachine learningQuantitative ModelingPythonGenAI

Questions you could be asked

What NLP problem have you worked on, and how did you measure whether it actually worked?
Tell me about a project where data analytics was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where quantitative modeling was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: NLP, Data Analytics, Machine learning, Quantitative Modeling, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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