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.