The role of a Software Engineer at Lazard is pivotal in driving technological solutions that support the firm's operations and enhance its financial services. As a member of a dynamic team, you will develop, implement, and maintain software applications that help optimize financial processes and improve user experience. This position is crucial not only for creating efficient tools but also for ensuring that Lazard remains competitive in a rapidly evolving digital landscape. In this role, you will work on complex projects that may involve quantitative analysis, algorithm development, and system architecture. You will collaborate with cross-functional teams, including quantitative analysts and product managers, to deliver innovative solutions that meet the high standards of Lazard's clientele. The challenges you face will be intellectually stimulating, offering a unique opportunity to influence the strategic direction of technology within the organization.
Initial Screening
reportedThe first stage involves a preliminary assessment of your qualifications and fit for the role.
What to demonstrate
- The first stage involves a preliminary assessment of your qualifications and fit for the role
- Depth in Python
How to prepare
- Be able to walk your CV end to end in two minutes, and say why this company specifically.
- Have your salary expectations, notice period and location constraints ready, and ask for the rest of the loop in writing.
Technical Interviews
reportedIn-depth interviews focusing on coding challenges and system design discussions.
What to demonstrate
- In-depth interviews focusing on coding challenges and system design discussions
- Depth in Python
How to prepare
- Answer aloud and timed: What is the difference between synchronous and asynchronous programming?
- Answer aloud and timed: Can you discuss a time when you improved a system's performance?
Behavioral Interviews
reportedInterviews aimed at understanding your work style, motivations, and cultural fit with the company.
What to demonstrate
- Interviews aimed at understanding your work style, motivations, and cultural fit with the company
- Depth in Python
How to prepare
- Prepare three examples from your own work, each with a decision you made and an outcome you can quantify.
- Re-read the description of the behavioral interviews above and write down what you would ask to confirm before it.
PracHub editorial advice for the preparation topics above.
Practice coding under time constraints
Given the focus on coding challenges, practice solving problems within a set timeframe to simulate the interview environment.
Be prepared to explain your thought process
Interviewers appreciate candidates who can articulate their reasoning and approach to problem-solving.
Review common algorithms
Familiarize yourself with sorting algorithms, search algorithms, and data structure operations, as these are often tested in coding interviews.
Understand the company’s business model
Having a solid grasp of Lazard's services and how technology supports their operations can help you tailor your responses effectively.
Choose a category, try a prompt, then open its approach, worked solution or follow-up when you need it.
What is the difference between synchronous and asynchronous programming?
What is the difference between synchronous and asynchronous programming?
Approach
- Say what the runtime actually does before reasoning about the code.
- Name what is shared across threads and what owns each piece of state.
- Identify the window where an invariant is briefly untrue.
- Distinguish a value from a reference to it, and say which one you handed out.
Follow-up
- What happens if two callers reach this at the same time?
- Where could this allocate more than you expect?
Write a function to reverse a linked list.
Write a function to reverse a linked list.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
How would you find the longest substring without repeating characters in a string?
How would you find the longest substring without repeating characters in a string?
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Demonstrate how to implement a binary search algorithm.
Demonstrate how to implement a binary search algorithm.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Solve a problem using dynamic programming techniques.
Solve a problem using dynamic programming techniques.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
Write a function that checks if a string is a palindrome.
Write a function that checks if a string is a palindrome.
Approach
- Restate the input: its shape, its size, and what is guaranteed about it.
- Name the brute-force solution and its complexity before improving on it.
- Choose the data structure from the access pattern, not from familiarity.
- State the target complexity and say which constraint rules the naive version out.
Follow-up
- How does this change if the input no longer fits in memory?
- What is the worst case, and how likely is it on real data?
How do you optimize a SQL query for performance?
How do you optimize a SQL query for performance?
Approach
- Name the grain you start from and join outward from it.
- Check whether any join is one-to-many before aggregating, or the sums inflate.
- Say which index the query would use, and what makes it unusable.
- Handle the rows that do not match: that is usually the actual question.
Follow-up
- How does the query change if that join becomes one-to-many?
- What happens to this when the table is ten times larger?
Keep soft-deleted accounts from blocking re-registration
app_user holds user_id, tenant_id, email CITEXT, password_hash (NULL for SSO principals), email_verified_at, auth_version, status ('invited','active','suspended','deactivated'), created_at, updated_at, deleted_at. Two live accounts for one address inside a tenant must be impossible, but an address freed by a soft delete must be reusable, and the same tenant may delete and re-register it repeatedly. Write the uniqueness DDL for PostgreSQL 16, then the equivalent for MySQL 8 where partial indexes do not exist, and say what each permits once three deleted rows already hold that address.
Approach
- Start from what is actually unique: not (tenant_id, email), but (tenant_id, email) among live rows. PostgreSQL says that directly — CREATE UNIQUE INDEX app_user_live_email ON app_user (tenant_id, email) WHERE deleted_at IS NULL. A full constraint over the same two columns burns the address permanently the first time someone deletes an account.
- Keep case-insensitivity in the type or the index, never in the application: CITEXT as given, or UNIQUE (tenant_id, lower(email)) as an expression index where the extension is unavailable. A case-sensitive unique column is exactly how two accounts for one human appear.
- For MySQL 8 the predicate has to move inside the key: add a discriminator column that is a constant 0 while the row is live and is set to user_id on delete, with UNIQUE (tenant_id, email, deleted_marker). Live rows share the constant and still collide; deleted rows differ from each other and stop colliding.
- State the NULL variant and its dependency: leaving the marker NULL for deleted rows also works, because a unique index treats NULLs as distinct — true in MySQL, and true in PostgreSQL only under the default NULLS DISTINCT, which PostgreSQL 15 lets you reverse. Check the polarity against the three existing deleted rows: constant-on-live is what preserves the collision you want, and reversing it silently admits duplicate live accounts.
Follow-up
- A deleted account re-registers with the same address the next day. Do the old resource rows follow the new user_id, and how does the API keep the two principals apart?
- How do you honour an erasure request while resource_revision.actor_user_id still references this table?
Explain the concept of OOP and its principles.
Explain the concept of OOP and its principles.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
How would you design a system for real-time data analysis?
How would you design a system for real-time data analysis?
Approach
- Fix the scope first: who calls this, how often, and what they do when it fails.
- Name the read and write paths separately; they rarely have the same bottleneck.
- Choose a partition key and say what query it makes expensive.
- State the consistency you need, and where you are willing to be stale.
Follow-up
- What breaks first when traffic grows ten times?
- How does this behave when that dependency is down for an hour?
Discuss how you would approach a project with unclear requirements.
Discuss how you would approach a project with unclear requirements.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
Explain how you would improve an existing application that is underperforming.
Explain how you would improve an existing application that is underperforming.
Approach
- Clarify what is being asked and what a complete answer contains.
- State your assumptions explicitly before working the problem.
- Say what you would check first and why it is the highest-information step.
- Work from the requirement backwards to the design.
Follow-up
- What assumption would you test first?
- How would you know your answer was wrong?
p99 jumped on one listing filter while p50 stayed flat
After a release that added an owner_user_id filter to the resource listing, p99 rose from 90 ms to 1.9 s while p50 stayed at 40 ms. Traffic and row counts are unchanged. resource carries the index (tenant_id, status, updated_at DESC, resource_id DESC). The new query filters tenant_id and owner_user_id, orders by updated_at DESC, resource_id DESC, and takes 20 rows. On PostgreSQL, explain the shape of the regression, prove it from a query plan, and give the index you would add.
Approach
- Start from the shape. A flat p50 with a moved p99 means a subset of requests changed cost, not all of them, so the first job is naming the subset. Bucket the endpoint's latency by the tenant's row count; the natural hypothesis is that large tenants are a small share of requests and all of the tail.
- Get the plan for the new query on a large tenant with EXPLAIN (ANALYZE, BUFFERS). Expect an index scan over the tenant's range, a filter discarding most of it, then a Sort feeding the Limit, possibly reporting Sort Method: external merge Disk. Read actual rows on the scan node, not estimated.
- Explain why the existing index cannot serve it. A composite B-tree is seekable only as a left prefix, and with no equality predicate on status the scan cannot treat updated_at as an ordering, because rows in the tenant's range are ordered by status first. Everything matching must be read and sorted before LIMIT 20 can apply, so a tenant with 400,000 rows pays 400,000 rows to return 20.
- Add (tenant_id, owner_user_id, updated_at DESC, resource_id DESC). Equality on the first two columns leaves the index ordered by updated_at within that pair, so the plan becomes an index scan that stops after 20 rows with no Sort node. PostgreSQL can scan a B-tree backwards, so the DESC markers matter only if the two sort columns ever disagree in direction; keeping them explicit documents the order the keyset cursor depends on.
Follow-up
- The endpoint paginates with OFFSET. What does page 500 cost with your index, and what does the keyset version cost?
- How would you have caught this before release, given that a 10,000-row seed database produces the same plan shape at an unnoticeable cost?
Built from the rounds and topics Lazard candidates report.
Prepare, practise & reflect
One practical outcome each day. Spend longer where you need it.
0 / 7 done01Map the Lazard loop
- Write out the reported sequence: Initial Screening, Technical Interviews, Behavioral Interviews.
- For each round, write one sentence on what it is judging, from the description above, and mark the one you are least ready for.
Deliverable: A one-page map of the 3 reported rounds, with the weakest marked.
02Work Python
- Spend the session on Python, which Lazard candidates report being tested on.
- Write one worked example in Python and time yourself on it.
Deliverable: One timed worked example in Python.
03Work Behavioral interview
- Spend the session on Behavioral interview, which Lazard candidates report being tested on.
- Write one worked example in Behavioral interview and time yourself on it.
Deliverable: One timed worked example in Behavioral interview.
04Work Quantitative development
- Spend the session on Quantitative development, which Lazard candidates report being tested on.
- Write one worked example in Quantitative development and time yourself on it.
Deliverable: One timed worked example in Quantitative development.
05Answer out loud: Technical / Domain Questions
- Answer aloud, timed: How do you optimize a SQL query for performance?
- Answer aloud, timed: Explain the concept of OOP and its principles.
Deliverable: Spoken answers to 2 reported Technical / Domain Questions question(s), under time.
06Answer out loud: Behavioral / Leadership
- Answer aloud, timed: Tell me about a time you faced a significant challenge in a project. How did you handle it?
- Answer aloud, timed: Describe a situation where you had to work with a difficult team member.
Deliverable: Spoken answers to 2 reported Behavioral / Leadership question(s), under time.
07Answer out loud: Coding / Algorithms
- Answer aloud, timed: Write a function to reverse a linked list.
- Answer aloud, timed: How would you find the longest substring without repeating characters in a string?
Deliverable: Spoken answers to 2 reported Coding / Algorithms question(s), under time.
Expand any day for tasks and deliverables. Your progress is saved on this device.
Behavioural rounds judge the decision you made and what it cost.
Can you discuss a time when you improved a system's performance?
Can you discuss a time when you improved a system's performance?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Describe your experience with cloud services and their application in software development.
Describe your experience with cloud services and their application in software development.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Tell me about a time you faced a significant challenge in a project. How did you handle it?
Tell me about a time you faced a significant challenge in a project. How did you handle it?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
Describe a situation where you had to work with a difficult team member.
Describe a situation where you had to work with a difficult team member.
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you prioritize tasks when managing multiple projects?
How do you prioritize tasks when managing multiple projects?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
What motivates you to succeed in your role?
What motivates you to succeed in your role?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
How do you handle feedback on your work?
How do you handle feedback on your work?
Approach
- Pick a story where you made the decision, not one where you watched it.
- State the situation in two sentences and spend the rest on the reasoning.
- Give the blast radius: what could have broken, and what you measured.
- Name the disagreement and how you resolved it with evidence.
Follow-up
- What would you do differently if you ran that again?
- How did you know your change caused the improvement?
- 01
Can you discuss a time when you improved a system's performance?
- 02
Describe your experience with cloud services and their application in software development.
- 03
Tell me about a time you faced a significant challenge in a project. How did you handle it?
- 04
Describe a situation where you had to work with a difficult team member.
What is the difficulty level of the interviews?
The interviews at Lazard can be challenging, often combining technical assessments with behavioral questions. Candidates should prepare for a mix of coding challenges and discussions that assess problem-solving skills.
Lazard Software Engineer candidate reports ↗How much preparation time is typical?
Candidates often find that dedicating several weeks to review relevant materials, practice coding problems, and prepare for behavioral interviews is beneficial.
Lazard Software Engineer candidate reports ↗What differentiates successful candidates?
Successful candidates typically demonstrate a strong technical foundation, excellent problem-solving abilities, and an alignment with Lazard's values and culture.
Lazard Software Engineer candidate reports ↗How long does the interview process usually take?
The timeline can vary, but candidates may expect the process to take several weeks from the initial screen to the final interview.
Lazard Software Engineer candidate reports ↗What is the company culture like at Lazard?
Lazard values collaboration, integrity, and excellence. The working environment encourages teamwork and open communication.
Lazard Software Engineer candidate reports ↗What topics does Lazard test in interviews?
Lazard interviews most often cover Probability, Quantitative Problem Solving, Quantitative Research, Combinatorics, and Python. The exact emphasis depends on the specific role you apply for.
Lazard Software Engineer candidate reports ↗Sources & methodology 3 sources ↗
No official company page is cited. Rounds and questions come from candidate reports and PracHub editorial material; each source shows the date it was read.
- 01Lazard Software Engineer candidate reports ↗
Company-reported rounds, questions and FAQ.
Candidate reports · Accessed 2026-09-22 - 02PracHub Software Engineer practice ↗
PracHub practice material, not company-reported.
PracHub page · Accessed 2026-09-22 - 03PracHub preparation framework ↗
PracHub preparation guidance.
PracHub page · Accessed 2026-09-22
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