Associate Actuary, Central Reserving
AIG is hiring an Associate Actuary, Central Reserving in Atlanta, United States. It pays $105k-$130k a year and Level rates it ; you can apply on AIG.
Level's read on this job
- Level rates this role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Python, R and AI Models.
- Level classifies it as a mid-level role.
- Level lists 403 other open roles at AIG.
- The role was posted within the past week.
AI in this role
Develop AI-based tools and predictive models to improve actuarial reserving accuracy and analyze claims outcomes.хиии
The Central Reserving team is seeking a highly analytical and innovative professional to help advance our reserving capabilities through the application of Artificial Intelligence (AI) and advanced analytics. This role will be responsible for developing tools and models that identify and quantify key drivers of claims outcomes, uncover insights into loss development behavior, and enhance reserving accuracy across multiple lines of business.
In addition, this role will support the analysis, determination, and reporting of reserves for Extra-Contractual Obligations (ECO) and Corporate-Level Unallocated Loss Expense (ULE).
The successful candidate will partner with reserving actuaries, claims professionals, data scientists, and business leaders to transform complex datasets into actionable insights, modern analytical tools, and next-generation reserving methodologies.
This position offers a unique opportunity to influence the future of actuarial reserving by combining traditional actuarial expertise with cutting-edge AI and advanced analytics capabilities.
Key Responsibilities:
- Support the quarterly process of determining the appropriate amount of IBNR to be booked across assigned reserving segments, including Extra-Contractual Obligations (ECO) and Corporate-Level Unallocated Loss Expense (ULE).
- Analyze information to determine, document, and communicate the adequacy of loss and loss expense reserves.
- Develop and apply advanced analytics, predictive modeling, and AI-based tools to identify and quantify key drivers of claims outcomes, improve reserve estimates, and generate business insights into loss development behavior.
- Research, develop, and enhance reserving methodologies and models to improve reserve accuracy and support actuarial transformation initiatives.
- Analyze and monitor loss development trends, claims emergence patterns, and relevant industry, regulatory, and operational changes, and effectively communicate findings to management.
- Assist with quarterly financial and regulatory reporting (quarter close) and provide data and exhibits for annual statement reporting, including ECO and ULE reporting requirements.
- Collaborate with Claims, Finance, Pricing, Data Science, and Technology teams to improve data quality, streamline processes, and achieve reserving modernization objectives.
- Work effectively both independently and as part of a team to achieve the organization's financial, strategic, and operational objectives.
Qualifications:
- BS in Actuarial Science, Mathematics, Statistics, or related area
- ACAS or FCAS
- 4 or more years of experience in reserving and/or pricing
- Strong analytical and problem-solving skills
- Work well both independently and as part of a team
- Proficiency in Excel, SQL, SAS, Python, R, or other programming languages preferred
- Strong business and collaboration skills and responsive to service needs and operational demands
- Effective time management skill
- Strong communication, presentation, and interpersonal skills
- Strong work ethic
For positions based in New York and Connecticut, the base salary range is $105,000-$130,000. The position is eligible for a bonus in accordance with the terms of the applicable incentive plan. Your actual compensation will be dependent on your skills, experience, and qualifications. In addition, we’re proud to offer a range of competitive benefits, a summary of which can be viewed here US Benefits
At AIG, we value in-person collaboration as a vital part of our culture, which is why we ask our team members to be primarily in the office. This approach helps us work together effectively and create a supportive, connected environment for our team and clients alike.
Enjoy benefits that take care of what matters
At AIG, our people are our greatest asset. We know how important it is to protect and invest in what’s most important to you. That is why we created our Total Rewards Program, a comprehensive benefits package that extends beyond time spent at work to offer benefits focused on your health, wellbeing and financial security—as well as your professional development—to bring peace of mind to you and your family.
Reimagining insurance to make a bigger difference to the world
American International Group, Inc. (AIG) is a global leader in commercial and personal insurance solutions; we are one of the world’s most far-reaching property casualty networks. It is an exciting time to join us — across our operations, we are thinking in new and innovative ways to deliver ever-better solutions to our customers. At AIG, you can go further to support individuals, businesses, and communities, helping them to manage risk, respond to times of uncertainty and discover new potential. We invest in our largest asset, our people, through continuous learning and development, in a culture that celebrates everyone for who they are and what they want to become.
Welcome to a culture of inclusion
We’re committed to creating a culture that truly respects and celebrates each other’s talents, backgrounds, cultures, opinions and goals. We foster a culture of inclusion and belonging through learning, cultural awareness activities and Employee Resource Groups (ERGs). With global chapters, ERGs are a cornerstone for our culture of inclusion. The talent of our people is one of AIG’s greatest assets, and we are honored that our drive for positive change has been recognized by numerous recent awards and accreditations.
AIG provides equal opportunity to all qualified individuals regardless of race, color, religion, age, gender, gender expression, national origin, veteran status, disability or any other legally protected categories.
AIG is committed to working with and providing reasonable accommodations to job applicants and employees with disabilities. If you believe you need a reasonable accommodation, please send an email to candidatecare@aig.com.
Functional Area:
AC - ActuarialAIG PC Global Services, Inc.How we rate this
Associate Actuary, Central Reserving at AIG rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where actuarial science was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where reserving was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Actuarial Science, Predictive Modeling, Data Science, Reserving, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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