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 – 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
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?
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.
Skills Required
- PhD students or early-career researchers in a quantitative discipline
- Familiarity with analytical methods in Python, R, or equivalent tools
- Strong commitment to teamwork and adaptability in a changing environment
- Excellent command of the English language (verbal and written)
Marsh McLennan Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Marsh McLennan and has not been reviewed or approved by Marsh McLennan.
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Leave & Time Off Breadth — Leave offerings are described as generous, including sizable PTO, paid holidays, paid sick days, and additional time off such as paid volunteer time and “Summer days.” These time-off benefits are portrayed as a standout part of the overall rewards package.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive, spanning medical, dental, and vision options, with additional supports like disability and life insurance and access to mental health resources and an EAP. The breadth of plan options is positioned as a core strength of the benefits package.
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Retirement Support — Retirement benefits are framed as solid, with 401(k) programs and employer matching frequently highlighted alongside other financial programs. Stock purchase options are also referenced as an additional wealth-building component of the total rewards mix.
Marsh McLennan Insights
What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries. Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity. Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics. Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people. Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society. Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.
