AVP Actuary - Life

Smith Hanley; Wilton (CT); On-site; USD 175,000 - 195,000; Full time

Job summary

Smith Hanley is seeking an AVP Actuary - Life to lead the actuarial function in a growing life insurance team. The role focuses on managing US Statutory, GAAP, and Tax reserves while collaborating with cross-functional partners and supporting LDTI implementation.

Candidates should bring 7+ years of reserving, capital, and financial reporting expertise. The position requires strong independence, motivation, and prioritization skills, with hands-on experience in actuarial modeling using MG-ALFA

Qualifications

• 7+ years of US Statutory and GAAP reserving, capital, and financial reporting experience.
• Experience with Actuarial Modeling and MG-ALFA & GGY AXIS.
• Experience working with regulators and auditors during examinations and audits.

Responsibilities

• Manage US Statutory, GAAP, and Tax reserves and financial reporting.
• Collaborate cross-functionally with business partners across the organization.
• Support LDTI implementation and related reporting.

Skills

US statutory & GAAP reserving, capital

Regulatory examinations & audits

Actuarial modelling software MG-ALFA

Actuarial modelling software GGY AXIS

Independent work, self-motivated

Tools

MG-ALFA

GGY AXIS

Job description

Title: AVP Actuary - Life

Compensation: $175,000-$195,000 + Bonus

Location: New York or Chicago

Actuarial Summary:

Join a growing life insurance team as a key finance leader. Manage US Statutory, GAAP, and Tax reserves, collaborate cross-functionally, and support LDTI implementation. Bring 7+ years of expertise in reserving, capital, and financial reporting.

Actuarial Qualifications:

• 7+ years of US Statutory and GAAP reserving, capital, and financial reporting experience
• Experience working with Actuarial Modeling and software MG-ALFA & GGY AXIS
• Working with regulators and auditors during examinations and audits, responding to inquiries
• Demonstrate self-motivation, ability to work independently, and prioritize tasks efficiently