Actuarial Statistical Analyst
American International Group, Inc.
                            
                            Mexico City, Mexico
                        
                        
                            
                            Full-time
                        
                        
                            
                            
                                Posted Aug 14, 2025
                            
                        
                    Full-time
                        
                    Compensation
                                    
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                            About the role
Actuarial Statistical Analyst
Responsibilities
- Develop an enhance actuarial pricing models using GLMs or other predictive methods
 - Perform rate reviews and support rate fillings with analytical justifications.
 - Analyze portfolio performance and support pricing strategies with data – driven insights
 - Collaborate with regional and local teams across Product - Underwriting, Claims.
 - Build dashboards, tools and reports to monitor performance and support decision making
 - Contribute to innovation projects
 - Communicate findings and recommendations effectively to technical and non-technical stakeholders.
 
Requirements
- Bachelor’s degree in actuarial science, Statistics, Mathematics, Economics, or related field.
 - 3 years of experience in an actuarial, pricing, or data analytics role (Insurance industry)
 - Proficiency in Excel and programing languages (R, Python and SQL)
 - Strong analytical and problem-solving skills with attention to detail.
 - Effective communication skills and collaborative mindset
 - Passion for learning and growing in a dynamic, data – drive environment
 
Benefits
- 401k matching
 - Health insurance
 - Volunteer Time Off and Matching Grants Programs
 
About the Company
American International Group, Inc. (AIG) is a leading global insurance organization.
Job Details
Salary Range
Salary not disclosed
Location
Mexico City, Mexico
Employment Type
Full-time
Original Posting
View on company website