Start your actuarial career through challenging, diverse projects with colleagues across North America and Latin America. Students nearing graduation and recent graduates in Actuarial Science or Mathematics can build hands-on experience in insurance modeling, data analytics, Excel, Python, and SQL. Bring your advanced English, analytical mindset, and eagerness to learn—apply now and grow with a general actuarial team Responsibilities The Role Collaborate with North America and Latin America colleagues across a variety of actuarial and analytical projects:
• Assisting with reserving calculations for life and non-life products
• Supporting statistical research and data analysis, including collecting and cleaning data, performing exploratory data analysis.
• Helping identifying trends and patterns under the guidance of senior team members
• Contributing to the development of analytics and market strategies through data preparation, and research
• Learning about product development and pricing techniques using different software tools
• Support life insurance financial modeling,



including running actuarial models, updating input data and assumptions, testing models, and reviewing results
• Assisting in the preparation of recurrent regulatory reports (Statutory, US GAAP, IFRS and SII) including data preparation, validation, and documentation Qualifications The Requirements
• Bachelor’s Degree preferably in Actuarial Science or Mathematics
• 1 year of experience working in Insurance Companies or Data Consulting firms (desirable but not requisite)
• Strong written and verbal English skills and a demonstrated ability to interact
• Proficiency in Microsoft Office, especially Excel
• Intermediate-level programming skills in tools such as SQL, VBA, R, Python
• Well organized, committed to quality, proactive and eager to learn, showing resilience
• Good organizational skills and the ability to manage multiple tasks and meet deadlines and communicate information Equal Opportunity Employer

📌 Actuarial Analyst (Ciudad de México)
🏢 WTW
📍 Ciudad de México