Announcement: SOA releases January 2025 Exam P passing candidate numbers. 

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