Associate Director & Actuary, Life Insurance
Listed on 2026-08-09
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Finance & Banking
Actuary, Risk Manager/Analyst, Financial Analyst -
Insurance
Actuary, Risk Manager/Analyst, Financial Analyst
Who We Are
At Corebridge Financial, we believe action is everything. That's why every day we partner with financial professionals and institutions to make it possible for more people to take action in their financial lives, for today and tomorrow.
We Align To a Set Of Values That Are The Core Pillars That Define Our Culture And Help Bring Our Brand Purpose To Life- We are stronger as one:
We collaborate across the enterprise, scale what works and act decisively for our customers and partners. - We deliver on commitments:
We are accountable, empower each other and go above and beyond for our stakeholders. - We learn, improve and innovate:
We get better each day by challenging the status quo and equipping ourselves for the future. - We are inclusive:
We embrace different perspectives, enabling our colleagues to make an impact and bring their whole selves to work.
Associate Director & Actuary for the Life Insurance group.
Responsibilities Pricing AssumptionsAnalyze, develop, and maintain pricing assumptions, including mortality, lapse, expense, reinsurance, and other assumptions affecting product profitability.
Evaluate emerging experience and perform sensitivity analyses to support assumption recommendations and pricing decisions.
Pricing Modeling & Profitability AnalyticsDevelop, maintain, and enhance actuarial pricing models for life insurance products. Support the implementation of new products, product enhancements, and pricing methodologies within actuarial models. Perform profitability analyses for new products and pricing initiatives. Develop and enhance profitability models, analytical tools, and reporting capabilities across Statutory, GAAP, and economic frameworks to support product evaluation and business decision-making.
Pricing Infrastructure & DocumentationDevelop, maintain, and enhance the Pricing SharePoint site as the central repository for pricing models, methodologies, assumptions, documentation, and other actuarial resources to support knowledge sharing, consistency, and model governance. Contribute to the continuous improvement of pricing tools, analytical processes, documentation standards, and knowledge management practices.
Automated Underwriting & Predictive AnalyticsSupport the monitoring, analysis, and optimization of automated underwriting (AU) performance, including metric projection, sensitivity testing, and evaluation of program updates to balance efficiency gains and mortality outcomes. Contribute to AU development and governance activities, including data preparation, model and algorithm development, program design, coding/testing, documentation, and support for audits, ERM, and model validation. Monitor emerging mortality experience and recommend enhancements to the AU program, communicating insights effectively to stakeholders.
Provide technical expertise and oversight for predictive analytics models that support underwriting decisions and life insurance assumption development.
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or a related quantitative discipline.
- Fellow of the Society of Actuaries (FSA).
- 10+ years of actuarial experience in life insurance pricing, product development, or a related actuarial function.
- Strong knowledge of life insurance products (IUL, Term and WL), pricing methodologies, profitability analysis, and actuarial assumptions.
- Experience developing and maintaining actuarial pricing models. Direct experience with model conversions preferred.
- Experience with actuarial modeling platforms (Prophet required) and proficiency with analytical tools such as Excel, VBA, SQL, Python, or R. Expert level R or Python programming skills, including large-scale data preparation, feature engineering, predictive modeling and analysis in support of complex problem solving.
- Strong background in predictive analytics, including direct experience applying predictive analytics models to solve a variety of problems for the life insurance business. Experience using Git Hub or similar tool for code management, version control, documentation, and collaborative development.
- Knowledge of P concepts, especially with regards to VM-20 assumption setting.
- Broad background working across the life insurance business preferred, including experience collaborating across departments such as underwriting, valuation, experience studies, etc.
- Strong analytical, problem-solving, and communication skills with the ability to independently perform complex actuarial analyses and collaborate effectively across functions.
The anticipated salary range for this position is $150,000 to $200,000 at the commencement of employment. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered will ultimately be dependent on multiple factors, which may include the candidate's geographic location, skills, experience and other qualifications.
In addition, the position is eligible for a discretionary bonus in…
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