ING Interview Questions (2026) - 2 Entries

ING Interview Questions

3 total interview insight submissions

Interview Experience (83%)

The Interview Experience is a score from 1 star (very negative) to 5 stars (very positive) generated based on the Interview Insights at this company.

The number you see in the middle of the doughnut pie chart is the simple average of these scores. If you hover over the various sections of the donut, you will see the % breakdown of each score given.

The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few interview insights). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire dataset.

4.5

Very Negative
Negative
Neutral
Positive
Very Positive

Interview Difficulty (53%)

The Interview Difficulty is a score ranging from very difficult (red) to very easy (green) generated based on the Interview Insights at this company.

The number you see in the middle of the doughnut pie chart is the simple average of these scores. The higher the number, the more difficult the interviews on average. If you hover over the various sections of the doughnut, you will see the % breakdown of each score given.

The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few interview insights). Simply put, as a company gets more insights, the confidence of a "true score" increases so it is pulled closer to its simple average and away from the average of the entire data set.

2.5

Very Easy
Easy
Average
Difficult
Very Difficult

% Interns - FT Offers (35%)

The % of Interns Getting a Full Time Offer chart is meant to provide a realistic estimate of the hiring practices of the company based on the reviews at this company.

The number you see in the middle of the doughnut pie chart is the simple average of these scores. If you hover over the various sections of the doughnut, you will see the % breakdown of each score given.

The percentile score in the title is calculated across the entire Company Database and uses an adjusted score based on Bayesian Estimates (to account for companies that have few reviews). Simply put, as a company gets more reviews, the confidence of a "true score" increases so it is pulled closer to the simple company average and away from the average of the entire data set.

40%

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Interviews at ING

Get Prepared

Year

Job Title

Group/Division

Location

Experience

Difficulty

Intern

Year 2026

Job Title Intern

Group/Division Corporate Banking

Location Luxembourg

Experience

Very Positive

Difficulty

Easy

Intern

Year 2026

Job Title Intern

Group/Division Corporate Banking

Location Luxembourg

Experience

Very Positive

Difficulty

Easy

N/A

Year 2025

Job Title N/A

Group/Division Generalist

Location Frankfurt

Experience

Positive

Difficulty

Average

Interview Questions & Answers - ING Examples

Intern- Lending Interview - Corporate Banking

Anonymous employee in Luxembourg

Interviewed: August 2026

Date Submitted: Nov 09, 2026

Outcome

Accepted Offer

Interview Source

Applied Online

Length of Process

Less than 1 month

Application

1 on 1 Interview

Interview

Two interviews, one with the manager and the second with HR. There was a nice mix of different tehnical and fit questions, nothing too hard.

Interview Questions

Which firm would you give a credit too: a start up with high margins, or a mature manufacturer with thin margins?

Sample Answer

Sa Interview - Generalist

Anonymous interview candidate in Frankfurt

Interviewed: May 2025

Date Submitted: Jun 01, 2026

Outcome

Declined Offer

Interview Source

Employee Referral

Length of Process

3-4 months

Application

1 on 1 Interview

Interview

My process with ING began via a direct application through their careers portal after seeing a posting for a Senior Risk Analyst role. The initial communication was a prompt automated confirmation email, followed by a personal note from a recruiter within 5 days. They were highly organized—providing a detailed timeline, interview guides, and even a preparation packet on ING's Orange Code values and risk management framework. We arranged a 45-minute HR screening call, then a take-home case study on financial risk modeling (allowed 5 days).
There were four structured interviews over three weeks: (1) Technical interview with two risk managers focusing on regulatory knowledge (Basel, IFRS9), Excel modeling, and scenario analysis; (2) Behavioral interview with the hiring director using STAR method; (3) Case study presentation round where I defended my take-home work; (4) Final panel with cross-team stakeholders including compliance and IT. All were via Microsoft Teams except an optional office visit.

Interview Questions

Question: “Given the recent updates to the Basel IV framework and ING’s exposure in the Dutch mortgage portfolio, how would you model the impact of the output floor on our RWA calculations if residential real estate risk weights increase by 15% under stressed scenarios? Walk us through the key steps and potential mitigants.”
My Answer: I started by acknowledging the output floor’s 72.5% threshold. I outlined steps: (1) Segment the portfolio by PD/LGD buckets using ING’s internal models; (2) Recalculate RWAs pre- and post-floor using the formula RWA = K × 12.5 × EAD, incorporating the 15% stress uplift; (3) Run Monte Carlo simulations for correlation effects. For mitigants, I suggested increased use of IRB Advanced models, securitization, and dynamic capital buffers. I referenced ING’s latest Pillar 3 report for context. The panel nodded at the practical angle.
Category: Technical – Regulatory Capital & Stress Testing

Sample Answer

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