Internship Quantitative Risk Management (Interest Rate Risk & ALM)
🕙 36 hours per week
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Data Analysis
Python @ 3
Stress Testing
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
ING's Banking Risk department measures and manages Interest Rate Risk in the Banking Book (IRRBB) across the ING Group. As part of a global function, you will work closely with Financial Risk, Treasury, and modelling specialists across Belgium, Germany, Spain, Australia, and other ING locations.
The team focuses on how customer behaviour, interest rate movements, and balance sheet dynamics translate into financial risk, providing exposure to banking, quantitative modelling, behavioural analytics, and balance sheet management.
Responsibilities
As an intern, you will contribute to projects involving:
- Interest Rate Risk in the Banking Book (IRRBB)
- Behavioural modelling of savings, mortgages, and other retail products
- Quantitative analysis supporting Asset & Liability Management (ALM)
- Data analysis and model development
- Process improvements and analytical tooling
- Sensitivity analyses and stress testing
- Preparing clear and insightful analyses for risk and management discussions
You will work with professionals from Financial Risk, Treasury, and local risk teams, supporting analyses that contribute to the management of ING's balance sheet and interest rate risk exposure.
Requirements
- Currently pursuing the final year of a Master's degree in Econometrics, Quantitative Finance, Economics, Finance, Business Analytics, or a related quantitative discipline
- Strong analytical and problem-solving skills
- Interest in data and quantitative methods
- Programming experience, preferably in Python
- Ability to structure complex issues and translate analyses into clear, practical insights
- Proactive, curious, and solution-oriented approach
- Availability for a full-time internship of at least 6 months
- Studying at a Dutch university, or being an EU citizen enrolled at a European university
Due to visa restrictions, applications from non-EU students studying outside the Netherlands cannot be considered. During the internship, enrollment at a Dutch university, or at a European Union university for EU passport holders, is mandatory.
Benefits
- Internship allowance of EUR 700 based on a 36-hour work week
- Own work laptop
- Hybrid working, combining home working with office-based collaboration
- Personal growth and challenging work
- Informal working environment with innovative colleagues
- Exposure to quantitative risk management within one of Europe's largest banks
- Hands-on experience with interest rate risk, behavioural modelling, and balance sheet management
- Collaboration with specialists across multiple countries and disciplines