(Senior) Analyst - Data & Analytics
Role details
Job location
Tech stack
Job description
- 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'll have a dedicated buddy, a career adviser, and a talent manager to help you navigate your professional path. We also care deeply about sustainable work-life quality, providing you with the flexibility to balance your career aspirations with your personal life.
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!
Requirements
- 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 commitment to teamwork and resilience in a creative and constantly changing environment
- Excellent command of the English language (verbal and written). Fluency in Dutch will be a plus.
- Interest and experience in financial services and risk management is a plus