Actuarial Associate: DI Product & Risk Analytics

Ameritas Mutual Holding Company; Northern (KY); Hybrid; USD 125,000 - 212,000; Full time

Benefits offered by this job

401(k) with company match

Tuition reimbursement

Incentive program bonuses

Competitive pay

Flexible hybrid work options

Thrive Days / personal time off

Health benefits including medical, and

Well-being programs with rewards

Job summary

Ameritas Mutual Holding Company is seeking an experienced actuarial professional to manage DI products and initiatives, perform risk analysis, and support financial planning through modeling and data analytics. The role emphasizes collaboration with upper management and cross-functional teams.

The ideal candidate has 4–7 years of actuarial experience, ASA designation, Prophet modeling experience, and strong programming skills in SQL, VBA, R, or Python.

Qualifications

• 4-7 years of related actuarial experience.
• Actuarial modeling experience required; Prophet modeling preferred.
• ASA designation required; FSA/MAAA desired.

Responsibilities

• Manage DI products and initiatives.
• Perform stress testing and scenario analysis for strategic decisions.
• Develop best-in-class actuarial models and governance.
• Create insights for upper management using actuarial data analytics.
• Collaborate cross-functionally with Financial Planning and product initiatives.
• Prepare information requests for actuaries, accountants, auditors, and external stakeholders.

Skills

Analytical thinking

Communication skills

Leadership potential

Education

Bachelor's degree in actuarial science, mathematics, statistics, or related field

ASA (Associate, Society of Actuaries)

FSA (Fellow, Society of Actuaries) desired

MAAA (Member of the American Academy of Actuaries) desired

Tools

Prophet modeling

SQL

VBA

R

Python

Job description

Ameritas Mutual Holding Company is seeking an experienced actuarial professional to manage DI products and initiatives, perform risk analysis, and support financial planning through modeling and data analytics. The role emphasizes collaboration with upper management and cross-functional teams.

The ideal candidate has 4–7 years of actuarial experience, ASA designation, Prophet modeling experience, and strong programming skills in SQL, VBA, R, or Python.