AI-Driven Data & Analytics Research Fellowship

Company:

Oliver Wyman

Who We Are

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.

The Oliver Wyman Data and Analytics (DNA) team is a dynamic and rapidly growing group 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.

In addition to high-impact analytics projects, the DNA team has a dedicated R&D function made up of Research Fellows and DNA colleagues. The R&D team explores how new tools and ideas across data science, analytics and AI can be applied in industry.

Our Values

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 DNA Research Fellow, you will work with colleagues at all levels from your first day solving some of the world’s biggest challenges. This will include:

• Designing solutions for complex problems using the latest research in data science, advanced analytics and AI

• Implementing prototypes and measuring their effectiveness

• Engaging in discussions with colleagues to share ideas and show results

Your contributions will be crucial for creating cutting-edge products and carrying out advanced research and development within Oliver Wyman.

Notable DNA projects include:

• Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – for more information

• Exploring novel GenAI architectures and validation methods for customer-facing tools in the financial sector

• Modelling portfolio decarbonization strategies leveraging advanced analytics techniques for large European banks

• Identifying supply chain risks by combining multiple live data feeds, and developing and applying a bespoke AI based risk methodology – for more information

Why Join us?

Expect a steep learning curve, as no two weeks are ever the same:

• You’ll have access to the latest technologies and constantly expand your toolkit with each new endeavour

• You’ll be working on cutting-edge research applying the latest ideas in AI, data and analytics to real-world problems

• You’ll be part of a collaborative team , supported by experienced mentors and colleagues throughout your fellowship

• You’ll have a dedicated buddy and a talent manager to help you navigate your professional path during your placement

• We care deeply about sustainable work-life quality, providing you with the flexibility to balance your work with your personal life.

If you’re excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard!

Who Can Apply?

• PhD students or early-career researchers in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science or, Engineering with capacity for at least a three-month fellowship.

• Data-driven mindset and the ability to clearly explain complex ideas to colleagues

• Familiarity with analytical methods in Python, R, or equivalent tools

• Strong commitment to teamwork and resilience in a creative and constantly changing environment

• Excellent command of the English language (verbal and written)

• You are aged 18 or over at the start of the placement

• You have the right to work in the UK

• Interest or experience in financial services and risk management is a plus

• Applicants with access to funding to support the fellowship will be preferred

How to Apply?

Pleasesubmityour CV, cover letter and transcripts. As part of your…