Ing-Diba Quantitative Analyst Interview Guide

Our candidates report that ING-Diba is less interested in seeing someone “perform” quant work than in checking whether they can explain their background cleanly and connect it to the role. Across both experiences, the strongest signal was not a deep technical grilling, but a steady focus on how the candidate presents their CV, why they applied, and how they would add value to the team. That tells us the bar here is partly about judgment: can you communicate a quantitative profile in a way that feels structured, credible, and relevant to finance?

A recurring theme is that the interviewers also look for motivation and fit with the project, not just technical fluency. One candidate was asked about five-year plans and even whether they were “dynamic or static,” which suggests ING-Diba is paying attention to work style and attitude in a fairly direct way. For quant and risk profiles, our candidates also mention basic financial risk concepts and model explanations, but these seem to function more as a check on practical understanding than as a stress test. In other words, the company appears to reward candidates who can keep their answers simple, coherent, and business-aware.

We’ve also seen that the process can feel polished when the conversation stays conversational, but it becomes fragile when execution slips. One candidate noted that technical issues in the final conversation made it hard to show their strengths, and that mattered. The takeaway is that ING-Diba seems to form a strong impression from how well you stay clear under pressure and how naturally you tie your experience to the team’s needs. That final impression carries real weight here.