Lazard, Inc. Interview Questions
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.
- Very Negative
- Negative
- Neutral
- Positive
- Very Positive
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.
- Very Easy
- Easy
- Average
- Difficult
- Very Difficult
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.
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Interviews at Lazard, Inc.
Interview Questions & Answers - Lazard, Inc. Examples
Associate Interview - Mergers and Acquisitions
First round was a single call with an MD on the team, roughly [30/45] minutes. Conversational rather than technical. No modeling test, no case at this stage. Heard back the next day that they were not moving forward. Second round would have been with the other senior members of the group and I was told to expect it to go harder on technicals and a full deal walkthrough.
Questions
• Walk me through your background
• Why investment banking
• Why Lazard, and why this group specifically
• Why leave your current seat now
• Walk me through a deal you worked on end to end
• What are you seeing in your current coverage, and where do you think the opportunity is over the next 12 to 24 months
• Views on the data center services segment.
Answer: I gave a specific view on one subsector rather than a survey. I named the catalyst, the mechanism that translates it into demand, and the caveat that some of the current activity is being driven by a separate program and should not be read as underlying growth. The point was to show a view I could defend, not breadth.
Intern Interview
Investment Banking Associate Interview - Investment Banking
Associate Interview - Financial Sponsors
2027 Summer Analyst Interview - Investment Banking
They tested core valuation concepts (full DCF walkthrough, WACC, unlevering/relevering beta, and LBO basics) along with detailed accounting questions (3-statement walk-through and transaction adjustments). There was also a strong focus on tech-specific questions, including SaaS valuation metrics (ARR, NDR, Rule of 40), how to think about revenue quality, and how growth vs. profitability impacts multiples. They wanted candidates to understand the tech landscape and speak intelligently about current trends and recent deals.
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