Private Banking - Intern - Digitalisation & AI in Portfolio Management

ING is hiring a Private Banking - Intern - Digitalisation & AI in Portfolio Management. 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.
Tools and skills the posting cites include Python, Data Analytics and AI Tools.
Level classifies it as an internship.
Level lists 657 other open roles at ING.
The role was posted in the last few days.

AI in this role

Internship focused on exploring data, automation, and AI applications to support portfolio managers in private banking.

pythondata-analyticsai-tools

artificial-intelligencedata-analysisportfolio-managementprototypingprocess-analysis

During the internship, you will explore how data, automation and artificial intelligence can support the day-to-day work of Portfolio Managers within ING Private Banking & Wealth Management.

The internship is designed as a genuine project with a defined business problem, analytical work, experimentation and tangible recommendations at the end.

You will be part of the core team responsible for analysing selected Portfolio Management processes and identifying opportunities to make them more data-driven, efficient and scalable. A key focus will be the preparation and follow-up of client investment meetings: the goal is to investigate how AI could help Portfolio Managers prepare more personalised and consistent client discussions, combining portfolio data, performance information and investment insights.

Your responsibilities will span across the full project life cycle, from process analysis and opportunity identification to concrete prototypes or proof of concepts that can be tested with Portfolio Managers.

This role offers a unique opportunity to work at the intersection of investment management, data analytics, technology and client experience, gaining exposure to and knowledge of these different domains.

How we rate this

Private Banking - Intern - Digitalisation & AI in Portfolio Management at ING rates 65 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.

Classification

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.

Key facts

Private Banking - Intern - Digitalisation & AI in Portfolio Management is an open job at ING.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Bruxelles Avenue Marnix (ING).
The job was posted on November 4, 2026.
Seniority: intern.
Applications are handled by ING. Apply on ING

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Artificial IntelligenceData AnalysisPortfolio ManagementPrototypingProcess AnalysisPythonData AnalyticsAI Tools

Questions you could be asked

Tell me about a project where artificial intelligence 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 portfolio management was part of your work. What did you do?
Tell me about a project where prototyping was part of your work. What did you do?
Tell me about a project where process analysis was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Artificial Intelligence, Data Analysis, Portfolio Management, Prototyping, and Process Analysis. 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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