Actuarial Analyst: Data Modeling & Insights

WTW; Ciudad de México; Presencial; MXN 320.000 - 520.000; Jornada completa

Descripción de la vacante

WTW in Mexico City is seeking an entry-level actuarial analyst to collaborate with North America and Latin America teams on reserving calculations, data analysis, and model validation across life and non-life products.

You will gain experience in regulatory reporting data preparation, pricing concepts, and using SQL, Python, and Excel under guidance. Strong English and proactive learning are essential.

Formación

• Bachelor's degree in Actuarial Science or Mathematics.
• 1 year of experience in insurance or data consulting preferred.
• Strong written and verbal English.
• Proficiency in Excel; familiarity with data preparation.
• Programming in SQL, VBA, R, Python.
• Well-organized, proactive, and able to meet deadlines.

Responsabilidades

• Assist with reserving calculations for life and non-life products.
• Support statistical research and data analysis, including collecting and cleaning data.
• Identify trends and patterns under guidance from senior team members.
• Contribute to analytics and market strategies via data preparation and research.
• Learn product development and pricing techniques using various software tools.
• Support life insurance financial modeling: run actuarial models, update data/assumptions, test models, review results.
• Assist in preparing recurring regulatory reports (Statutory, US GAAP, IFRS, SII) including data preparation, validation, and documentation.

Conocimientos

SQL

Python

R

VBA

Excel

Data analysis

English

Educación

Bachelor's degree in Actuarial Science or Mathematics

Herramientas

SQL

Python

R

VBA

Excel

Descripción del empleo

WTW in Mexico City is seeking an entry-level actuarial analyst to collaborate with North America and Latin America teams on reserving calculations, data analysis, and model validation across life and non-life products.

You will gain experience in regulatory reporting data preparation, pricing concepts, and using SQL, Python, and Excel under guidance. Strong English and proactive learning are essential.