Data & Analytics Consulting Analyst @ Oliver Wyman Group
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Job Details
Who We Are
Oliver Wyman Group is a global management consultancy operating across multiple industries including financial services, energy, and more. Our Data and Analytics (DNA) division, established in 2017, is a dynamic team of quantitative analytics specialists focused on designing innovative solutions to complex challenges.
What You Will Do
As a member of our Data & Analytics team, you will collaborate with clients and colleagues to solve challenging analytical problems. You will design solutions, implement prototypes, assess their effectiveness, and communicate ideas clearly.
- Develop NLP-based machine learning toolkits.
- Model portfolio decarbonization strategies.
- Optimize promotional programs using historical data.
- Validate and develop GenAI chatbots and risk models.
- Apply bespoke AI methods to identify supply chain risks.
Why Join Us?
You will experience a steep learning curve, international travel, and in-depth exposure to latest technologies. Our supportive environment includes a dedicated buddy, career adviser, and talent manager to guide your journey while providing flexible hybrid work arrangements.
Who Can Apply?
Candidates with a Bachelor’s, Master’s, or PhD in quantitative disciplines and programming skills (Python or R) are encouraged to apply. Strong communication in German and English is required and interest in financial services is a plus.
Interview Process
The interview process includes conversational and case interviews, designed to help both you and Oliver Wyman understand if there’s a mutual fit. For more interview preparation tips, please visit our careers page.
Key skills/competency
Data Science, Analytics, Python, R, Machine Learning, NLP, Risk Management, Quantitative Analysis, Consulting, Financial Services
How to Get Hired at Oliver Wyman Group
🎯 Tips for Getting Hired
- Research Oliver Wyman Group's culture: Understand values, projects, and work style.
- Tailor your resume: Highlight quantitative skills and consulting experience.
- Prepare case studies: Practice analytical and problem-solving scenarios.
- Show technical aptitude: Demonstrate practical experience in Python or R.