Oliver Wyman - Data & Analytics Consulting - Analyst (m/f/d) - Berlin

Marsh; Berlin; Vor Ort; EUR 65.000 - 110.000; Vollzeit

Zusammenfassung

Oliver Wyman, a Marsh company, invites you to join its Data & Analytics team in Berlin. You will work on NLP, risk modelling, and analytics projects for European clients, delivering tailored analytical solutions from ideation to implementation.

You will collaborate with global experts, develop prototypes, and engage with clients to share insights. A quantitative background and programming skills in Python or R are desirable, along with fluent German and English.

Qualifikationen

• Quantitative degree with strong analytical background.
• Ability to explain sophisticated data science concepts to clients and colleagues.
• Programming skills in Python or R are desirable.
• Fluent German and English (written and spoken).
• Interest in financial services and risk management is a plus.

Aufgaben

• Collaborate with colleagues and clients at all levels from the first day, helping solve challenging problems.
• Design tailored analytics solutions and prototypes for analytical challenges.
• Engage in discussions with clients and colleagues to share ideas and validate approaches.
• Contribute to projects across Europe with global teams.

Kenntnisse

Data-driven mindset

Python or R

German & English fluent

Teamwork & resilience

Ausbildung

Bachelor's/Master's/PhD in a quantitative discipline

Tools

Python

R

Jobbeschreibung

Company: Oliver Wyman

Description:

Who We Are

Oliver Wyman, a Marsh (NYSE: MRSH) business, is a management consulting firm driven by deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

Within Oliver Wyman, the Data and Analytics (DNA) division was established in 2017 and is operating across the entire world, with a focus on Europe. 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

Why Join Us?

Expect a steep learning curve, as no two projects are ever the same. You'll have the opportunity to travel internationally, gaining invaluable experiences and insights across different cultures and with access to the latest technologies, you'll constantly expand your toolkit with each new endeavor.

You won't be alone on this journey; various colleagues will guide and coach you throughout your career. You have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path. We also care deeply on sustainable work-life quality, providing you with the flexibility plus??

This role will empower you to embrace your curiosity and step out of your comfort zone. You will have the opportunity to work alongside genuine colleagues who measure success by the lasting impact we create together. If you're excited by challenges and eager to make a meaningful impact, we look forward to welcoming you aboard!

Who Can Apply?

• Bachelor's, Master's, or PhD in a quantitative discipline from a top academic program (Data Science, Mathematics, Natural Sciences, Statistics, Computer Science, Engineering, etc.)
• Data-driven mindset and proficiency with numbers, paired with the ability to explain sophisticated data science concepts in an understandable manner to clients and colleagues
• Ideally, programming skills in Python or R, but more importantly, an eagerness to continuously extend your knowledge of technologies
• Strong commitement to teamwork and resilience in a creative and constantly changing environment
• Excellent command of German & English (verbal and written)
• Interest and experience in financial services and risk management is a plus

What to expect during the interview process?

At Oliver Wyman, we want you to shine in your interview. Our process is designed like our work environment - it's challenging ,excit? and fun.

With a mix of conversational and case interviews, our approach not only helps us to get to know you better,