How long does the Chubb interview process take?

Most candidates spend between 4 and 8 weeks from recruiter screen to offer. The onsite loop itself runs in a single day or is split across two half-days, with debrief and offer typically within 5 business days after.

How should I prepare specifically for Chubb?

Focus on three things: (1) the company DNA shown above — what they actually grade for, (2) the rounds in your loop, especially the round most candidates underestimate, and (3) drilling on the question types in this guide using a structured framework like CIRCLES or STAR.

Does this apply to engineering or design roles at Chubb?

The DNA stays the same — what changes is the round mix. SWE candidates face coding screens instead of Product Sense; designers face portfolio reviews and design exercises. The "what they value" and behavioral signals carry across all functions.

Other roles at Chubb:Sales Marketing Software Engineer

Enterprise · Software Engineer Interview Guide

How to Pass the Chubb Software Engineer Interview in 2026

The Chubb DNA (TL;DR)

Chubb values candidates who demonstrate strong analytical skills, a deep understanding of risk management principles, and a client-centric approach. They look for individuals who can navigate complex regulatory environments and contribute to a stable, collaborative team culture.

The Chubb Interview Loop

Your onsite loop will typically consist of 5 rounds.

1
Round 1
Recruiter Screen
Motivation, role fit, logistics.
2
Round 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Round 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Round 4
Onsite Coding
LeetCode-hard, debugging, code clarity, edge cases.
5
Round 5
Behavioral / Leadership
Past evidence of ownership, influence, resolving conflict.

The Danger Zone: Top Reasons Candidates Fail

Based on our database of Chubb interview outcomes, avoid these common traps:

Failing to validate transaction amounts (e.g., negative amounts where not expected).
Choosing a single database technology without considering different data access patterns.
Using inefficient algorithms (e.g., checking all requests in a window).
Focusing only on the resistance without explaining the persuasion tactics used.

Test Yourself: Real Chubb Questions

Three real prompts pulled from our database.

Type · Motivation

Why are you interested in a Software Engineer role specifically within the finance/insurance industry, and what aspects of Chubb's work in this domain appeal to you?

Type · Algorithmic

Given a list of financial transactions, each with a timestamp, amount, and type (e.g., 'deposit', 'withdrawal', 'fee'), write a function to calculate the running balance. Handle potential edge cases like out-of-order transactions or invalid amounts.

Type · Ownership

Tell me about a time you took ownership of a difficult situation or project that wasn't explicitly your responsibility. What was the situation, what did you do, and what was the outcome?

+ many more questions, signals, and worked examples

Unlock the rubric →

Chubb Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 17 questions shown

Recruiter Screen

1
Type · Motivation
Why are you interested in a Software Engineer role specifically within the finance/insurance industry, and what aspects of Chubb's work in this domain appeal to you?

Coding Screen

2
Type · Algorithmic
Given a list of financial transactions, each with a timestamp, amount, and type (e.g., 'deposit', 'withdrawal', 'fee'), write a function to calculate the running balance. Handle potential edge cases like out-of-order transactions or invalid amounts.
3
Type · Algorithmic
Implement a function to detect fraudulent transactions based on a set of rules (e.g., transaction amount exceeds a threshold, multiple transactions from the same IP in a short period). The function should return a list of transaction IDs flagged as potentially fraudulent.
+ 1 more questions in this round (sign up to unlock)

System Design

4
Type · System Design
Design a system to process and analyze a high volume of incoming insurance claims data in near real-time. Consider data ingestion, validation, initial processing, and storage for subsequent analysis.
5
Type · System Design
Design an API service that allows insurance agents to quickly retrieve policyholder information based on various criteria (policy number, name, address). The service needs to be highly available and performant, querying potentially large datasets.
+ 1 more questions in this round (sign up to unlock)

Onsite Coding

6
Type · Coding
Write a function to simulate the process of calculating insurance premiums. This involves taking various inputs (coverage amount, risk factors, deductibles, location data) and applying a complex set of business rules. Ensure the code is modular and testable.
7
Type · Debugging
Here is a piece of code intended to calculate the total insured value across multiple policies. It's producing incorrect results for certain edge cases (e.g., policies with zero value, overlapping coverage periods). Debug and fix the code.
+ 1 more questions in this round (sign up to unlock)

Behavioral / Leadership

8
Type · Behavioral
Tell me about a time you had to work with a stakeholder (e.g., product manager, business analyst) who had unclear or changing requirements. How did you approach the situation, and what was the outcome?
9
Type · Behavioral
Describe a challenging technical problem you encountered on a past project. What steps did you take to diagnose and resolve it? What did you learn from the experience?
+ 5 more questions in this round (sign up to unlock)

Unlock the full Chubb question bank

Free signup, no credit card. You get every question + the framework, grading signals, and worked answer for each.

Unlock all questions →

Interview tracks at Chubb

How Chubb's DNA translates across functions. Pick your role.

SWE candidates are evaluated on their ability to build secure, scalable systems for financial services, often involving data analytics for risk modeling or policy administration. Experience with enterprise architecture, regulatory compliance, and robust testing is key.

Motivation

Why are you interested in a Software Engineer role specifically within the finance/insurance industry, and what aspects of Chubb's work in this domain appeal to you?

Algorithmic

+ 1 more

Unlock the Software Engineer grading rubric for Chubb

See full Software Engineer guide