Remote US Life Actuary – Financial Projections & Modeling

Capgemini; México; Hybrid; MXN 600,000 - 1,100,000; Full time

Benefits offered by this job

Private Health Insurance

Paid Time Off

Training & Development opportunities

Flexible work arrangements

Comprehensive benefits package

Job summary

Capgemini, acting as Employer of Record for Farmers' Farmer Business Services, seeks an experienced actuary to lead financial projections of U.S. product liability cashflows.

You will focus on model development, testing, governance and consistency among stakeholders, working with guidance from a leader while mentoring junior staff. The role requires 6+ years in actuarial roles, strong modeling skills, and proficiency with MG-ALFA (or Axis/Profit), Python, R, and SAS to develop robust projections

Qualifications

• 6+ years of experience in actuarial roles.
• Advanced experience with actuarial projection software like MG-ALFA, Axis or Profit.
• Experience with Python, R, SAS or similar.
• Strong understanding of actuarial modeling.
• Familiarity with U.S. Life/Annuity product designs and features.
• Ability to analyze complex data and develop actuarial models and assumptions.
• Deep understanding of Financial Modeling within Alpha database.

Responsibilities

• Collaborates with stakeholders to resolve complex actuarial issues and prepare financial projections.
• Guides project workflows and ensures timely completion of actuarial deliverables.
• Advocates for improvements to formulas, procedures, and programs.
• Oversees integration of new/updated products into financial projection systems.
• Mentors junior actuarial staff and shares fundamental principles.

Skills

Actuarial modeling

Python

R

SAS

U.S. Life/Annuity products

Tools

MG-ALFA

Axis

Profit

Job description

Capgemini, acting as Employer of Record for Farmers' Farmer Business Services, seeks an experienced actuary to lead financial projections of U.S. product liability cashflows.

You will focus on model development, testing, governance and consistency among stakeholders, working with guidance from a leader while mentoring junior staff. The role requires 6+ years in actuarial roles, strong modeling skills, and proficiency with MG-ALFA (or Axis/Profit), Python, R, and SAS to develop robust projections