Intern researcher Modeling

ing; Amsterdam; Hybrid; EUR 7,100 - 8,500; Part time

Benefits offered by this job

Internship allowance 700 EUR

Laptop provided

Hybrid work

Personal growth opportunities

Informal, innovative environment

Job summary

ING is offering an internship in Amsterdam within the Modelling Technology area (CTO F&R Risk Modelling). You will study how agentic AI affects organizational roles, governance and job crafting while collaborating with senior professionals.

The role emphasizes research, model thinking and practical guidance to shape an AI-empowered organization. Hybrid work is offered with a mandatory Dutch university enrollment.

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.

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

Skills

Analytical skills

Quantitative skills

Python

Communication skills

Teamwork

Education

IT Technology, Finance, Economics, Business Administration

Tools

Python

Job description

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).

About our internships

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