Internship Asset Liability Management Model Development
ING is hiring an Internship Asset Liability Management Model Development. Level rates it ; you can apply on ING.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- Level classes it as an internship.
- ING has 664 other open roles on Level.
- Posted in the last few days.
AI in this role
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 our ALM team to support the development of financial projections and scenarios for various assets and liabilities products.
Responsibilities
- Work on developing and maintaining 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 the ALM models to assess the impact of various risk factors on the financial projections.
- Analyze the results with the ALM team to identify potential areas of risk or opportunity.
- Help prepare presentations and reports for internal stakeholders.
We are looking for you if you are
- Currently in the final year of pursuing a degree in Econometrics, Quantitative Finance, Mathematics, Statistics, Computer Science or a related field. Note that you must hold a student status throughout the duration of the internship.
- Available for at least 6 months
- Studying at a Dutch University (non-EU citizens on non-Dutch Universities are not allowed due to Visa restrictions)
- Familiar with financial modelling techniques
- Proficient in coding, preferably Python
- Excellent in written and verbal communication skills
What we offer
- The opportunity to gain practical experience in the field of ALM modelling
- A step towards an international career at ING with a quantitative basis
- A dynamic and agile working environment
Are you interested?
If you are passionate about finance, have a strong analytical background, and are interested in developing your skills in a dynamic and challenging environment, we encourage you to apply!
We are looking forward to receiving your application!
Rewards and benefits
This is a great opportunity to train with highly skilled people who are experts in their field. You’ll do a lot and learn a lot – not only about your specialist area and the bank, but also about yourself and whether this type of environment is right for you.
You’ll also benefit from:
- Internship allowance of 700 EUR based on 36 hours work week
- Your own work laptop
- Hybrid working to blend home working for focus and office working for collaboration and co-creation
- Personal growth and challenging work with endless possibilities
- An informal working environment with innovative colleagues
During the duration of your internship at ING, it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders).
Want to apply directly?
Please upload your CV and motivation letter by clicking the ‘Apply’ button.
About our internships
Every year, more than 350 students join our internship program. While there are no guarantees about your future, many of our former interns move into a permanent role or onto our International Talent Programme (traineeship).
Whatever happens, an internship at ING is the ideal opportunity to meet a wide variety of people, to build up your own network, and to learn about many different aspects of banking – put simply, it’s a great start to your career.
How we rate this
Internship Asset Liability Management Model Development at ING rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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