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Global Atlantic · 8 hours ago

Actuarial Associate, Insurance Liability Modeling

New York, NY

Full-time

Onsite

Mid, Senior Level

$140K/yr - $155K/yr

5+ years exp

Global Atlantic is a leading provider of retirement security and investment solutions. The Actuarial Associate, Insurance Risk Modelling is responsible for developing insurance liability models used in pricing, valuation, hedging, and asset-liability management (ALM), while also communicating findings to the management team and supporting new product launches.

Financial ServicesInsuranceLife InsuranceRetirement

Comp. & Benefits

No H1B

Hiring Manager

Kevin Sylvia

Responsibilities

Develop insurance liability models in GA Risk’s liability modelling platform

Communicate findings and implications to Risk’s management team and other stakeholders

Help onboard various Institutional transactions onto our Risk platform

Perform liability stresses under different lenses (GAAP/Stat/Econ/Bermuda) and understand both actuarial and market risks

Support new product launches and ensure the risk models are up to date with regular rate changes, new product features

Perform validation and control reviews of actuarial/financial models, including assessments of the methodologies and assumptions used within models

Assist in the development and use of quantitative models and analytical tools that enable the Risk function to provide constructive challenge to the current risk management, modeling, and pricing practices

Qualification

Insurance liability modelingFinancial risk managementPython programmingHedgingALMInsurance products knowledgeCommunication skills

Required

Bachelor's Degree in a quantitative discipline required

5+ years in a diversified life and annuity/financial or actuarial consulting firm

5+ years of experience in insurance models with proven track records of modelling complicated insurance products

Strong verbal and written communication skills, especially when articulating technical concepts in a compelling manner to engage both technical and non-technical audiences