Skills-based Learning
Data Science, Data Analysis and Predictive Analytics
- Extract and transform information from databases
- Identify data sources
- Understand and inform database design as it pertains to actuarial work
- Test, validate and clean data for use in analysis
- Identify and explain conclusions that emerge from data analysis
- Demonstrate superior analytical skills; the ability to take large amounts of complex information and synthesize it into something meaningful
- Working knowledge of Excel, database, and statistical analysis language
- Provide data analyses that support management decisions
- Understand common uses of new or emerging analytical methods
- Understand key concepts in developing data sets for predictive modeling
- Apply key concepts in developing data sets for predictive modeling
- Perform predictive modeling using GLM and nonlinear methods
- Understand the use and limitations of unsupervised machine learning
- Know R or Python language to perform predictive analytics
- Know at least one relevant tool such as R or Python language to perform predictive analytics
Actuarial Modeling and Analysis
- Perform actuarial analysis and modeling, including but not limited to reserves, pricing, and forecasting
- Perform an actual to expected analysis of results
- Perform actuarial analysis and modeling, including pricing and forecasting
- Perform experience studies and assist in development of pricing, projection, or valuation assumptions
- Create, build, update, enhance, run, validate, and document actuarial models
- Perform ad hoc actuarial analysis
Risk Management
- Analyze, interpret, and present numerical data related to pricing, reserves, and other actuarial analysis
- Ensure proper documentation and controls of all work and models, including pricing assumptions, processes, methodology, and results
- Knowledge of pricing, valuation and/or financial reporting standards, systems, and processes
- Analyze data and present analysis in a format appropriate for pricing, loss reserving, product development, reinsurance, and other financial analysis
- Perform periodic risk and sensitivity analyses
- Perform industry research to establish actuarial assumptions and methodologies used in pricing, reserving, or forecasting models
Pricing and Product Development
- Perform pricing and profitability analysis for a wide variety of actuarial solutions
- Support the design and pricing of new products and/or coverages
- Understand technical pricing, product development analytics and performance measurement
- Perform pricing and profitability analysis of all products, including analysis of results, reconciliation and attribution of changes, communication of results to management, and detailed documentation
- Adapt pricing methodologies and models for innovative new products and benefits
- Be responsible for technical pricing, product development analytics and performance measurement
Valuation and Financial Analysis
- Provide mathematical and technical support in the management of actuarial products
- Calculate, analyze, report, and explain reserves and other actuarial financial statement items
- Assist in preparing the actuarial portion of financial statements following GAAP, statutory or tax reporting principles, or the applicable international principles
- Provide valuation support by interpreting financial results and variances from forecast to help identify emerging trends to assist in risk management of the financial security system
- Plan, develop, and evaluate financial security system pricing, valuation, reserving and/or financial reporting actuarial needs
- Support the timely reporting of reserves and other actuarial input into the monthly, quarterly, and annual financial reporting process
Business Skills for Actuaries
- Effectively interact with other professionals
- Bridge analytics and business decision making
- Work as a team member, while contributing technical and actuarial content
- Collaborate across actuarial and non-actuarial teams
- Understand the drivers of profit and loss
- Sort through a business problem and determine the issues that must be addressed
Generating Business Insights
- Explain model results
- Understand and communicate variations in predicted outcomes
- Respond to actuarial questions and requests
- Provide actuarial support to key stakeholders including management, board, internal auditors, external auditors, etc.
- Deliver simple, summary level, financial models that effectively communicate business issues and risks
- Apply actuarial techniques to analyze, interpret and classify risks and communicate results to more senior actuaries
Communication and Influencing Informed Decision Making
- Communicate actuarial results to managers and leadership
- Communicate technical information to an audience in a way that they understand the information
- Communicate complex financial models to management in a way that enables them to understand risks and opportunities
- Effectively communicate information to various audience levels and recognize the level of the audience in each situation
- Condense complex actuarial calculations and risk analyses, and present them to others so that they understand the relevance
- Understand Tableau language and/or other tools to prepare data visualizations that enhance the presentation of results
Professionalism and Business Ethics and Diversity
- Demonstrate being morally sensitive to ethical dilemmas in business and identify ethical issues in actuarial work
- Keep abreast of the Actuarial Code of Conduct and the Actuarial Standards of Practice
- Meet actuarial qualification standards to issue Statements of Actuarial Opinions
- Understand how a diverse, equal, and inclusive environment creates a culture of belonging
- Understand and mitigate biases that may exist in data, assumptions, and models that impact actuarial services