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Amsterdam, Noord-Holland, Nederland
Hybrid
Role
As a Workalong Intern, you will support the development of intelligent agents that CRO NL processes within ING NL. This internship offers hands-on experience in applying advanced data science, AI, and automation techniques to real-world risk challenges in a highly regulated banking environment.
You will work on designing, building, and testing agent-based solutions that support risk identification, monitoring, and reporting processes. This role provides a unique opportunity to bridge data science and risk management while contributing to innovation within the bank.
The team
You will join the one of the teams within the CRO NL domain, based in Amsterdam. CRO NL is responsible for identifying, assessing, monitoring and managing ING Netherlands’ key risks, while safeguarding regulatory compliance, protecting the bank’s reputation and resilience, and enabling sustainable growth through sound risk management and decision-making.
We are increasingly leveraging advanced analytics and AI-driven solutions, including Co-Pilot agents to improve efficiency, horizon scanning, and control effectiveness. You will collaborate with risk experts in a multidisciplinary, innovative environment.
Key Responsibilities
Agent Development & AI Solutions
Design and develop agent-based solutions to support NFR processes with Co-Pilot
Prototype and validate new approaches for automation in risk management
Data Analysis & Process Improvement
Analyze and process structured and unstructured data relevant to NFR domains
Translate and identify business problems into data-driven solutions
Research & Innovation
Stay up to date with the latest developments in AI, agents, and data science
Support knowledge or training sessions on AI within the different NFR teams
Collaboration
Work closely with NFR experts, IT teams, and other stakeholders in ING NL and within Group NFR departments
Present outcomes, demos, and recommendations to the management team
Qualifications:
Master student in Data Science, AI, Computer Science, Mathematics, or a related field
Experience with machine learning, data analysis, or AI/LLM frameworks
Experience working with Microsoft Co-Pilot
Experience with prompt engineering and building agents
Interest in risk management, banking, or regulatory environments
Strong analytical thinking and problem-solving skills
Good communication skills and ability to explain technical concepts clearly
Proactive, curious, and comfortable working in a dynamic environment
Internship details
Duration: Minimum 6 months
Location: Amsterdam
Number of hours: 36 hours
Start date: TBD
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
Hands-on experience in a cutting-edge topic: AI agents in risk management
Opportunity to work on impactful, real-world use cases within ING
Exposure to both data science and banking risk domains
A collaborative and innovative work environment
Guidance from experienced professionals in both risk and data science
The possibility to shape the future of NFR through technology
Hybrid working to blend home working for focus and office working for collaboration and co-creation
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.
