Preparing for an interview at AIG requires a strategic approach that balances technical preparation with behavioral readiness. You should approach your preparation with the mindset of a strategic advisor who is highly comfortable with data.

We evaluate candidates across four primary dimensions. Demonstrating strength in each of these areas will make you a highly competitive candidate:

Role-Related Knowledge – You must demonstrate a solid understanding of insurance risk management, ERM frameworks, and risk aggregation methodologies. Be ready to discuss current macroeconomic trends and how they might impact a global insurer's portfolio.

Problem-Solving & Analytical Ability – Interviewers will assess how you approach ambiguous, complex problems. You should be prepared to walk through your logical framework for decomposing a problem, gathering relevant data, and extracting meaningful insights.

Technical Execution – You need to prove that you possess the technical skills required to execute the day-to-day work. This means showcasing your proficiency in SQL, data manipulation, scripting, and mapping out risk concentrations.

Collaboration & Communication – Because the ERM team acts as an advisory function to the broader business, your ability to build relationships and communicate technical findings clearly to diverse stakeholders is highly valued.

The interview process for the Risk Analyst position at AIG is structured to evaluate both your technical capabilities and your cultural fit. Candidates generally describe the process as straightforward, organized, and highly professional, typically taking about four weeks from the initial HR contact to the final decision.

The process begins with an initial screening call with a Human Resources representative. This conversation is focused on your background, career interests, and basic alignment with the role's requirements. Following a successful HR screen, you will move to a more in-depth interview with the Hiring Manager. This stage focuses heavily on your previous experience, your understanding of risk management, and your motivation for joining AIG.

The final stage is a technical and team-focused interview panel. During this round, you will meet with prospective team members who will dive deep into your technical competencies, including your experience with SQL, Python, R, and GIS tools. They will also assess your situational judgment and collaborative working style.

The timeline shown above represents the typical progression for candidates interviewing for the Risk Analyst role. It highlights the transition from initial behavioral screening to deep-dive technical and team evaluations. You should budget your preparation time accordingly, ensuring you do not neglect behavioral preparation while focusing on technical skills.

To excel in the AIG interview process, you must understand the specific competencies our teams are looking for. Here is an in-depth look at the primary evaluation areas.

Risk Aggregation & Scenario Analysis

This area lies at the heart of the ERM function. Interviewers want to see that you can think holistically about risk and understand how individual, localized risks can aggregate into significant global exposures.

Be ready to go over:

• Risk Aggregation Frameworks – How to compile and analyze risk exposures across different business units, regions, and product lines to create an enterprise-wide view.
• Scenario Design & Quantification – The methodologies used to design, analyze, and quantify hypothetical stress scenarios (e.g., natural disasters, geopolitical events, market crashes).
• Independent Research – How you gather external data and conduct research to inform scenario assumptions and risk assessments.

Advanced concepts to consider:

• Stochastic modeling versus deterministic scenario analysis.
• Correlated risks and tail-risk dependencies in a global insurance portfolio.
• Integrating Environmental, Social, and Governance (ESG) factors into traditional risk frameworks.

Example scenarios:

• "Imagine a severe hurricane makes landfall in a region where AIG has high property exposure, while simultaneously causing a localized economic downturn. How would you approach aggregating and quantifying this combined risk?"
• "How would you design a scenario to test the impact of a sudden, sharp interest rate hike on our investment portfolio and underwriting business?"

Technical Tooling & Data Analytics

You will be expected to demonstrate hands-on capability with the technical tools used by the ERM team to extract, analyze, and report on risk data.

Be ready to go over:

• SQL Proficiency – Writing efficient queries, joining complex tables, aggregating data, and cleaning raw datasets.
• Scripting & Automation (Python/R) – Developing independent analytical tools, automating data pipelines, and conducting statistical analysis.
• Geospatial Analysis (GIS) – Using tools like ArcGIS or QGIS to map risk concentrations and analyze geographic exposures.
• Data Visualization & Reporting – Creating clear, impactful dashboards and reports using Excel and PowerPoint for executive leadership.

Example scenarios:

• "Walk me through how you would write a SQL query to identify the top 10% of policyholders by risk exposure across multiple product tables."
• "Describe a Python script you wrote to automate a data-cleaning process. What libraries did you use, and how much time did it save?"

Stakeholder Communication & Collaboration

Having great data insights is only half the battle; you must also be able to communicate those insights effectively to drive risk-aware decision-making across the organization.

Be ready to go over:

• Translating Complexity – Simplifying highly technical or quantitative findings into clear, business-friendly language.
• Cross-Functional Collaboration – Working with underwriting, actuarial, finance, and IT teams to gather data and align on risk management approaches.
• Influence & Consensus Building – Fostering a risk-aware culture and persuading business leaders to take risk-mitigating actions based on your findings.

Example scenarios:

• "Describe a time when a business stakeholder disagreed with your risk assessment. How did you handle the situation and resolve the conflict?"
• "How do you structure a PowerPoint presentation intended for senior leadership versus one intended for a technical peer review?"

As a Risk Analyst or Senior Risk Analyst at AIG, your day-to-day responsibilities will be diverse and dynamic. You will be a key contributor to the global risk aggregation initiatives within the Enterprise Risk Management function.

Your primary focus will be supporting the identification, assessment, and aggregation of significant risks globally. This involves extracting and analyzing data from various internal and external sources across multiple risk categories. You will use this data to help design, analyze, and quantify holistic risk scenarios, providing senior leadership with a comprehensive view of the company’s risk exposure.

Collaboration is a major component of this role. You will work closely with other teams across different functions, regions, and business lines to develop risk exposure assessment capabilities and ensure consistency in risk aggregation approaches. Additionally, you will conduct independent research on emerging risk areas, compile your findings, and draft insightful reports to promote risk awareness and inform strategic risk management actions.

To be competitive for this role at AIG, you should meet the following qualifications:

• Education: A Bachelor's degree with 2 to 5 years of experience, or an advanced degree with 1 to 5 years of experience, in a highly quantitative or analytical field. Eligible fields include STEM, risk management, insurance, actuarial science, data science, or finance.
• Analytical Mindset: A strong interest in and understanding of insurance risk management, aggregation analysis, and scenario design, combined with a proven ability to conduct independent research.
• Core Technical Skills: High proficiency in the Microsoft Office Suite, with advanced capabilities in Excel (for modeling) and PowerPoint (for reporting).
• Advanced Technical Skills: Strong proficiency in SQL for database querying, along with experience in scripting languages like Python or R to develop analytical tools.
• Geospatial Skills: Demonstrable capabilities in GIS software, such as ArcGIS or QGIS, to analyze geographic risk concentrations.
• Communication: Excellent written and verbal communication skills, with a proven ability to explain complex technical concepts to non-technical business stakeholders.

Q: What is the work model for this role at AIG? AIG highly values in-person collaboration as a vital part of its corporate culture. For this position, team members are expected to work primarily in the office.

Q: How technical is the interview process? The interview process is moderately technical. While you may not face intense whiteboard coding challenges, you must be prepared to discuss your SQL querying skills, your experience writing analytical scripts in Python or R, and how you manipulate data in Excel and GIS platforms.

Q: What is the typical timeline from the first interview to an offer? The entire process typically takes about four weeks. This includes the initial HR screen, the hiring manager interview, and the team panel. AIG prides itself on a structured and direct hiring process.

Q: How can I stand out during the interview? The best way to stand out is to demonstrate a balance of technical rigor and business acumen. Candidates who can write complex queries but also explain the business implications of their findings in a clear, compelling way are highly valued.

To maximize your chances of success during the AIG interview process, keep these practical tips in mind:

• Master the STAR Method: When answering behavioral questions, structure your responses using the Situation, Task, Action, and Result framework. Focus heavily on the Action you took and the quantitative Result of your work.
• Brush Up on Insurance Fundamentals: Even if your background is in general data science or STEM, take the time to understand basic insurance concepts, such as underwriting, solvency, and reinsurance. Showing an interest in the industry goes a long way.
• Be Ready for Ambiguity: Enterprise Risk Management often involves dealing with incomplete data or emerging risks. Demonstrate that you are comfortable working with ambiguity and can make reasonable, defensible assumptions when necessary.

• Showcase Your Collaboration Skills: AIG is a global company with highly interconnected teams. Highlight your experience working with diverse, cross-functional, or international stakeholders.

The Risk Analyst role at AIG offers an exceptional opportunity to build a meaningful career in Enterprise Risk Management within a world-class insurance organization. By contributing to global risk aggregation and scenario design, you will play a direct role in safeguarding the strategic and financial future of a global leader.

To prepare effectively, focus your efforts on bridging the gap between data analysis and business strategy. Ensure your technical skills in SQL, Python, and GIS are sharp, but place equal emphasis on your ability to communicate complex ideas clearly and collaborate across diverse teams.

The salary range shown above represents the typical base compensation for this position. When evaluating an offer, keep in mind that AIG also offers competitive bonus eligibility, comprehensive healthcare, robust financial protection, retirement savings benefits, and professional development programs like tuition reimbursement.

As you finalize your preparation, you can explore additional interview insights, community discussions, and prep resources on Dataford to ensure you walk into your interviews with complete confidence. Good luck!