Hybrid Staff Actuary: Valuation & Data Transformation

Transamerica Corporation; Cedar Rapids (IA); Hybrid; USD 100,000 - 125,000; Full time

Benefits offered by this job

Competitive pay

Bonus for Eligible Employees

Benefits Package

Pension Plan (401k Match)

Employee Stock Purchase Plan

Tuition Reimbursement

Medical Insurance

Dental Insurance

Vision Insurance

Paid time off

Job summary

Transamerica Corporation seeks an actuarial professional to join Life Valuation, driving strategic priorities across valuation, modeling, data infrastructure, and process transformation. The role collaborates with actuarial, finance, data, and technology teams to enhance efficiency, transparency, and decision‑making.

Responsibilities include improving processes, supporting model development and governance, and delivering timely analytics.

Qualifications

• Bachelor's degree in actuarial science or related field with 5 years of relevant experience.
• ASA or equivalent professional designation.
• Strong communication of advanced mathematical concepts both verbally and in writing.

Responsibilities

• Identify opportunities to improve valuation processes and operational effectiveness.
• Lead initiatives to enhance efficiency, scalability, and consistency across valuation activities.
• Support valuation model development, enhancement, and validation efforts.
• Develop analytical tools, reporting capabilities, and dashboards for timely insights.

Skills

Actuarial judgment

Communication

Analytical thinking

Project management

Advanced computer skills

Education

Bachelor's Degree in Actuarial Science/Math/Statistics/Economics or related field

ASA or equivalent designation

Tools

SQL

Python

Power BI

AXIS or actuarial modeling platform

Job description

Transamerica Corporation seeks an actuarial professional to join Life Valuation, driving strategic priorities across valuation, modeling, data infrastructure, and process transformation. The role collaborates with actuarial, finance, data, and technology teams to enhance efficiency, transparency, and decision‑making.

Responsibilities include improving processes, supporting model development and governance, and delivering timely analytics.