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Bias and Fairness in Modeling and Underwriting
Bias and Fairness in Modeling and Underwriting An overview of bias and fairness in machine learning models, as they apply to use cases in life insurance. By Benjamin Brew, Cole Frank, Amy ...- Authors: Hareem Naveed, Benjamin Brew (Ben)
- Date: Sep 2022
- Competency: External Forces & Industry Knowledge; Professional Values; Technical Skills & Analytical Problem Solving
- Publication Name: Actuary of the Future
- Topics: Modeling & Statistical Methods; Public Policy
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2022-driving-regulatory-changes
Learn how modernization of data, models, and technology are influencing workflows. This webcast will address how workflows are changing in response to new regulatory requirements and the impacts ...- Authors: Andrew Allen Weaks, Robert Welander, Terri Linn Foster
- Date: Sep 2022
- Competency: Communication; External Forces & Industry Knowledge; Leadership; Professional Values; Relationship Management; Results-Oriented Solutions; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Topics: Actuarial Profession; Annuities; Economics; Enterprise Risk Management; Experience Studies & Data; Finance & Investments; Financial Reporting & Accounting; Life Insurance; Long-term Care; Modeling & Statistical Methods; Predictive Analytics; Technology & Applications; FinTech & InsurTech
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Potential Modeling Challenges in a Negative Interest Rate Environment
Potential Modeling Challenges in a Negative Interest Rate Environment In the United States, there has been much industry discussion of the challenges associated with a sustained low interest rate ...- Authors: Zohair Motiwalla
- Date: Mar 2022
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: The Financial Reporter
- Topics: Financial Reporting & Accounting; Modeling & Statistical Methods
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Apprentissage profond en gestion des risques : Une introduction en douceur
Apprentissage profond en gestion des risques : Une introduction en douceur The article provides a high-level, non-technical, introduction to artificial neural networks (ANNs) and deep learning ...- Authors: Damon Levine
- Date: Sep 2022
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Risk Management
- Topics: Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Forecasting
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What Machine Learning Can Do for You
What Machine Learning Can Do for You While many know that machine learning is a big deal and even have a general idea of what it is, many do not know what machine learning can do for them. As an ...- Authors: David Romoff
- Date: Feb 2022
- Competency: Technical Skills & Analytical Problem Solving
- Publication Name: Risks & Rewards
- Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Regression analysis; Predictive Analytics; Predictive Analytics>Modeling techniques
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Interest Rate Interpolation—A Brief Excursion
Interest Rate Interpolation—A Brief Excursion Discount rate curve construction has been a topic of renewed interest following recent changes in financial reporting standards. Interpolation is a ...- Authors: Bruce Rosner, Maya Perelman
- Date: Feb 2022
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Publication Name: The Financial Reporter
- Topics: Finance & Investments; Modeling & Statistical Methods
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Risk Evaluation in the Final Stages of the Pandemic
Risk Evaluation in the Final Stages of the Pandemic The direct and indirect effects of the pandemic have impacted many actuaries’ work since the spring of 2020. This article addresses three ...- Authors: David Brentlinger
- Date: Jul 2022
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Small Talk
- Topics: Enterprise Risk Management>Capital management - ERM; Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Forecasting; Modeling & Statistical Methods>Sensitivity testing; Modeling & Statistical Methods>Stochastic models; Modeling & Statistical Methods>Value at risk - Modeling & Statistical Methods
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2022-intro-random-effects
Introducing Random Effects into Risk Score Models Risk Modeling, Managed Care, Statistical Methods 20885 1018 9/16/2022 12:00:00 AM Robert Jason Reed (Jason) ...- Authors: Robert Jason Reed (Jason)
- Date: Sep 2022
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Health & Disability; Modeling & Statistical Methods; Modeling & Statistical Methods>Regression analysis; Health & Disability>Provider risk
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2022-us-post-level-term-lap
Learn more about the predictive modeling that was applied to industry data for the lapse and mortality experience in the post-level term period. Novel approaches were taken to model the shock ...- Authors: Davy Moore, Michael Niemerg
- Date: Sep 2022
- Competency: External Forces & Industry Knowledge; Results-Oriented Solutions; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Topics: Experience Studies & Data; Life Insurance; Modeling & Statistical Methods; Predictive Analytics; Technology & Applications