Internship Model Validation
ING is hiring an Internship Model Validation. Level rates it ; you can apply on ING.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Some of the work can be done remotely, according to the posting.
- The posting mentions Python, R and machine learning among its tools and skills.
- ING has 721 other open roles on Level.
- Posted in the last few days.
AI in this role
Research and validate machine learning models for financial crime detection and risk management as an intern at ING.
Join ING's Model Risk Management Department as an intern and gain valuable experience in the dynamic field of model risk management. As an intern, you will have the opportunity to work with a diverse and energetic team of highly qualified professionals, contributing to the validation and improvement of risk models used across ING.
About the Model Risk Management Department
The Model Risk Department plays a vital role in safeguarding the quality and reliability of models used throughout ING. Models are critical for decision-making processes across various risk domains. The department's mission is to ensure that these models are fit for purpose, comply with regulations, and provide accurate insights for effective risk management.
What You Will Do
- Conduct literature research related to financial crime detection and machine learning.
- Analyze large datasets to identify patterns and trends.
- Develop and evaluate statistical or machine learning models.
- Assess model performance and explainability.
- Present your research outcomes to both technical and non-technical stakeholders.
- Deliver an MSc thesis based on your research project.
What We Are Looking For
- Currently enrolled in an MSc program in Data Science, Artificial Intelligence, Computer Science, Econometrics, Statistics, Mathematics, Physics, or a related field.
- Strong analytical and problem-solving skills.
- Experience with Python, R, or similar analytical tools.
- Interest in machine learning and data modelling.
- Good communication skills in English.
- Curious, proactive, and eager to learn.
Why join us?
- Gain hands-on experience in model risk management and validation within a leading global bank.
- Work alongside experienced professionals and learn from their expertise in various risk domains.
- Contribute to the ongoing improvement and enhancement of risk models across ING.
- Explore a wide range of models and risk areas, expanding your knowledge and skill set.
- Embrace a culture of innovation, continuous learning, and professional development.
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).
Interested to learn more?
If you are excited about the prospect of contributing to the Model Risk Management Department's mission and gaining practical experience in the field of model risk management, apply today. Join ING and be part of a team that is shaping the future of risk management in the banking industry.
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 Model Validation at ING rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where risk management was part of your work. What did you do?
- Tell me about a project where statistics was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Machine learning, Data Analysis, Risk Management, Statistics, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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