Internship Asset Liability Management Model Development
at ING
EUR 8,400 per year
🕙 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.
Agile
Communication @ 3
Mathematics @ 3
Python @ 5
Statistics @ 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
We're looking for a motivated individual to assist with the development and implementation of asset-liability management (ALM) models. As an intern, you'll work closely with the ALM team to support the development of financial projections and scenarios for various asset and liability products.
Responsibilities
- Develop and maintain ALM models for assets and liabilities, including data input, model calibration, and scenario analysis.
- Collaborate with the MD ALM team to develop behavioural models that capture customer behaviour over time.
- Conduct sensitivity analysis and stress testing of ALM models to assess the impact of various risk factors on financial projections.
- Analyze results with the ALM team to identify potential areas of risk or opportunity.
- Help prepare presentations and reports for internal stakeholders.
Requirements
- Currently in the final year of a degree in Econometrics, Quantitative Finance, Mathematics, Statistics, Computer Science, or a related field.
- Must maintain student status throughout the internship.
- Available for at least 6 months.
- Studying at a Dutch university. Non-EU citizens studying at non-Dutch universities are not allowed due to visa restrictions.
- Familiarity with financial modelling techniques.
- Proficiency in coding, preferably Python.
- Excellent written and verbal communication skills.
Benefits
- Internship allowance of EUR 700 based on a 36-hour work week.
- Opportunity to gain practical experience in ALM modelling.
- A step towards an international career at ING with a quantitative basis.
- Dynamic and agile working environment.
- Own work laptop.
- Hybrid working combining home working with office working for collaboration and co-creation.
- Personal growth and challenging work with extensive opportunities.
- Informal working environment with innovative colleagues.
- Training with highly skilled experts and exposure to different aspects of banking.
- Opportunity to build a professional network through ING's internship program.
During the internship at ING, it is mandatory to be enrolled at a Dutch university, or at an EU university for EU passport holders. Applicants should upload a CV and motivation letter. The internship is full time and starts on November 5, 2026. Internships are available for at least six months, and former interns may move into permanent roles or ING's International Talent Programme.
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