AIG Claims interview process & guide 2026
Everything we know about interviewing at AIG Claims: the process stage by stage, what each round tests, compensation by level, and reports from candidates who interviewed.
- 1Initial Screening (HR or recruiter)
- 2Technical Assessment
- 3In-Person Interviews and/or Technical Team Interviews
- 4Final Discussions, Leadership, and Panels
Interviewing at AIG Claims
At AIG Claims, you start with HR or recruiter screening, then move into technical and behavioral interviewing. Across the roles our guides cover, the distinctive part is how often “fit” is checked alongside quantitative work: interviews repeatedly mix situational or behavioral questions with role-relevant technical checkpoints, including business analysis fundamentals, documentation, and problem solving.
The topics data shows you should expect insurance-domain content and applied technical discussion as major themes, with Insurance Domain Knowledge (Machine Learning & AI) and Machine Learning (concept) at the top, both at percentile 76 and 100 respectively. Project Management at percentile 100, Business Analysis Fundamentals at percentile 100, Requirements Documentation at percentile 96, and Project-based technical discussion at percentile 100 are also prominent, so you should be ready to talk through how you plan, structure work, and document outcomes.
Your reported candidate difficulty mix is mostly medium (62.6%), with 28.7% easy, 7.3% hard, and 1.4% very hard. The reported offer rate from the candidate reports we have is 0.0%, so you should treat the loop as an execution and signal-gathering process rather than something that reliably converts candidates into offers.
Your interviews are not purely “behavioral” or purely “technical”. The data shows heavy overlap between situational and behavioral formats and technical topics like insurance domain knowledge, machine learning concepts, requirements documentation, and project-based technical discussion, so prepare to explain your thinking and your outputs, not just your background.
How hard is the AIG Claims interview?
Aggregated from 519 interview experiencesAbout 1 in 2 candidates with a known outcome convert.
The interview process, end to end
4 rounds · based on 519 candidate reports- 1Initial Screening (HR or recruiter)
You meet HR and or a recruiter to confirm basic qualifications and role fit. You may do a phone or video interview centered on your background and experiences.
- 2Technical Assessment
You complete an assessment focusing on technical expertise tied to claims management and data analysis, along with problem solving and technical skills through behavioral questions. Expect scenarios that test how you approach tasks and how your technical thinking shows up in situational formats.
- 3In-Person Interviews and/or Technical Team Interviews
If you advance, you do multiple interviews with hiring managers and team members, sometimes including technical team members for deeper technical evaluation. Reports describe rounds that can include live coding or system design style discussions, and resume-based questioning.
- 4Final Discussions, Leadership, and Panels
Later steps include in-depth discussions with hiring managers, and in some cases with leadership or a final panel. These rounds focus on both technical and interpersonal fit, and may include resume walkthrough or deeper dives into how you would operate in the role.
What AIG Claims actually tests for
How prominent each skill is across reported loopsFind the guide for your role
This is your next step: open the guide for the role you are interviewing for. Each one carries the questions AIG Claims interviewers actually ask that position, the loop structure, and pay by level.
Real interview experiences
What candidates said about the loop, difficulty, and outcomes, straight from recent reports for these roles.
What AIG Claims pays, by level
Estimated total compensation: base salary plus stock and annual cash bonus.
What separates offers from rejections
Patterns from candidates who got offers, and the mistakes that most often sink a loop.
Do this
- Prepare to connect insurance or claims context to your technical reasoning. The topics list emphasizes Insurance Domain Knowledge (Machine Learning & AI) and Machine Learning concepts at the top percentiles, so be ready to explain assumptions, tradeoffs, and what you would do with claims data.
- Practice documenting structured outputs. Requirements Documentation is at percentile 96, and multiple reports describe work-shaped expectations like documenting results or deviations and turning them into clear next steps.
- Use STAR for behavioral, but keep it anchored to role tasks. The interview topics include Behavioral interview responses (STAR method) at percentile 100, and situational interview prompts appear alongside technical skills, so your stories should map to concrete methods and outcomes.
- Be ready for project framing and leadership-style judgment. Project Management is percentile 100 and Project Roadmapping is percentile 100, so rehearse how you scope, sequence work, communicate status, and handle changing requirements.
Avoid this
- Don’t assume the process is only fit-focused. The topics list shows multiple percentile 100 technical themes, plus resume walkthrough and resume-based questioning at percentile 96, so be prepared to go deep on what you claim you can do.
- Avoid vague “I would” answers without artifacts. Requirements Documentation and project-based technical discussion are highly represented, so you should bring examples that show how you structured the work, captured requirements, and produced usable documentation.
- Don’t rely on past experience summaries alone. The reports mention practical check-ins like walking through SQL or explaining quantitative thinking, and resume walkthrough is percentile 96, so expect to explain details and reasoning on the spot.
- Don’t ignore communication and logistics. Several reports describe scheduling delays or unclear follow-up, so if you are tracking timelines, confirm availability early and follow up after interviews if you are not hearing back.
AIG Claims interview FAQ
Answered from real candidate and workplace dataHow hard are the interviews?
From candidate reports, 62.6% were rated medium difficulty, 28.7% easy, 7.3% hard, and 1.4% very hard. Several reports also point to technical depth being more challenging than expected, especially quantitative or programming-adjacent questions in analyst-style loops.
What topics should I prioritize most?
Prioritize Project Management (100), Machine Learning concept (100), Sales Pipeline / Trial Closes (100) where relevant to your role, Product Roadmapping (100), Security Engineering SOC responsibilities (100) where relevant, Business Analysis Fundamentals (100), and Project-based technical discussion (100). Requirements Documentation is also very prominent at percentile 96, and Resume walkthrough / resume-based questioning is at percentile 96.
What is the interview flow like?
Reported steps commonly include an HR or recruiter initial screening, then technical assessment, then in-person or additional virtual discussions. Some candidates also reported technical interviews with live or coding and system design style components, plus final discussions that can include leadership.
Are interviews mainly behavioral, mainly technical, or mixed?
The topics list is heavily mixed. Behavioral interview responses using STAR method are at percentile 100, but technical and problem solving topics are also at high percentiles, including situational interviewing focused on technical skills, requirements documentation, and project-based technical discussion.
Do candidates get offers after the interviews?
In the candidate reports provided, the offer rate is 0.0%. The reports also include candidates who felt the process was structured or positive in sentiment, but none are reported as converting into offers in this dataset.
If I already interviewed, can I reapply?
The data we have does not mention re-application or cooldown policies. If you want, share your role and stage you reached, and I can help you map what to strengthen based on the topics and stages we do have.
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