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 isa 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.
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.
As a DNAResearch Fellow, you will work with colleagues at all levels from your first day solvingsome of the world’sbiggest challenges. This will include:
Designing solutions for complexproblems using the latest research in data science, advancedanalytics 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 withinOliver Wyman.
Notable DNA projects include:
Developing an NLP-based machine learning toolkit to predict credit rating downgrades using news articles – click here 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 – click here for more information
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!
PhD students or early-careerresearchers in a quantitative discipline such as Mathematics, Statistics, Physics, Computer Science or, Engineering with capacity for at least a three-monthfellowship.
Data-driven mindset and theability to clearlyexplain 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
Please submit your CV, cover letter and transcripts. As part of your cover letter, could you please indicate if you have funding available to support this PhD placement? If so, kindly specify the amount of funding you can provide and the source(s) of this funding
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.Applications are reviewed individually aligned to university intake cycles.
Oliver Wyman is an equal opportunity employer and a wholly owned subsidiary of Marsh & McLennan Companies. To learn more, please follow us on LinkedIn, Instagram or Twitter. Marsh & McLennan Companies and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/ Gender Identity employers
Applications are reviewed individually and aligned to university intake cycles.
Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan 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, civil partnership status, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, 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. We are an equal opportunities employer. We are committed to providing reasonable adjustments in accordance with applicable law to any candidate with a disability to allow them to fully participate in the recruitment process. If you have a disability that may require reasonable adjustments, please contact us at
McLennan 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 McLennan 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.
AI & Machine Learning (1)