Intern researcher Modeling

Role
As an intern, you will support the team with a study on the effects of AI on the organization.
 

Context

The rapid rise of AI agents is reshaping how work is managed and distributed in organizations including ING. Historically, software engineering has followed a relatively stable division of labor: business analysts, product owners, and other business roles occupy the problem space, translating organizational needs into requirements; software engineers occupy the solution space, implementing those requirements in code. This boundary has been blurry, but it was reinforced at the organizational level, for instance, through job titles and team structures.

Agentic AI has pushed these boundaries. On the one hand, we observe a shift-left approach where technical teams deploy agentic AI to absorb tasks traditionally performed by business roles and domain experts, pulling business logic responsibilities into the engineering tasks. On the other hand, we also notice a shift-right approach: business roles use natural language interfaces and AI agents to generate or modify code directly, bypassing engineering gatekeeping. The traditional separation between functional "problem" roles and technical "solution" roles is dissolving. This comes at a cost: while AI executes the work with potential productivity gains, code is generated faster than it can be comprehended increasing cognitive debt.
 

Problem

The main challenge brought by this shifting environment is the governance gap created when role boundaries dissolve faster than oversight structures can adapt. When software engineers craft their jobs to absorb business responsibilities without the requisite domain knowledge, or when business roles generate code without engineering rigor, the human-in-the-loop may be present but not competent for the decisions being made. To first diagnose the magnitude of the problem, we address the following overarching question: How do software engineers and business-side professionals engage in job crafting in response to agentic AI?

The Team

This assignment is withing the modelling technology area (CTO F&R Risk Modelling) in the FitLab team  where models are implemented based on specifications from the Credit Risk organization (CRO) with business analysis and functional guidance from COO Risk. Together with COO Risk the modelling technology organization for the Modelling Tribe. As an intern you define the precise scope of the assignment with the IT Area Lead of the modelling area and during the assignment you will report on a regular basis on the (interim) results of the assignment.
 

Key Responsibilities

• Study the tensions that AI has introduced

• Describe the risks and opportunities of shift-left and shift-right

• Industry research; how do other studies reflect on this issue and how did other companies deal with the fast introduction of AI. And how can we learn from these experiences?

• What target operating models can we consider? And what are the pros and cons for each of these models?

• Pitchbook & Presentation Preparation:

  • Prepare a presentation of the study and the results found. In ING townhall.

  • Deliver a practical guide for tuning the organization towards a most optimal AI empowered organization.

Qualifications:

• Currently pursuing a degree in IT Technology, Finance, Economics, Business Administration, or a related field.

• Strong analytical and quantitative skills; proficiency in programming languages (Python)

• Interest in Financial sector and business organizations of scale

• Excellent communication skills and attention to detail.

• Ability to work in a fast-paced, team-oriented environment.

• At least one day in the office working with the team.

• Self- guided and motivated.

What We Offer:

• Hands-on experience in innovative IT Engineering team working on real model implementations in a risk management context.

• Exposure to senior professionals and industry leaders on functional and technical side.

• A collaborative and learning-focused environment.

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.