Who Are We?
Oliver Wyman is a global management consultancy working across all areas of industry, financial services, government, and non-profit organizations. Clients approach us with their most significant challenges, and we assemble teams of experts to address each facet of these complex issues. Together, we create breakthroughs that lead to remarkable impact.
Within Oliver Wyman, the Data and Analytics (DNA) division was established in 2017 and is operating globally. 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
- Performing commercial due diligence on a AI maritime collision detection software system and the impacts of future regulatory changes
- Implementing AI to remediate billing discrepancies for a portfolio company
- Assessing the AI readiness of companies on behalf of a UK Private Equity firm
- Restructuring the pricing proposition of a financial services firm as part of a value creation plan
WHAT DO YOU LOOK FOR IN APPLICANTS?
- Bachelor’s, Master’s, or PhD in a quantitative/STEM discipline from a top academic program (Data Science, Mathematics, Economics, Natural Sciences, Statistics, Engineering, etc.)
- Candidates who are excited to work in an entrepreneurial environment, focused on delivering impact.
- Strong analysis, documentation, and communication skills.
- Be independent and work under limited supervision respecting defined timelines.
- Be able to find innovative, practical and flexible solutions to business issues.
- Present effectively results, potential issues and implications
- Excellent command of English language (verbal and written).
- Ability to manage a heavy work volume and meet deadlines in an extremely fast paced environment.
- Ability to maintain and respect confidentiality.
- Willingness to travel occasionally.
NB: This role is for those looking for a placement which is 100% in industry. No study is required during the 12 months. This placement will form a requirement of your degree.