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ACTUARIAL ANALYST RESUMENAME
Excellent problem solving skills developed through study and appreciation of statistical theory and methods, and applied probability statistics courses.
Proficient with Microsoft Excel, Access, Word and PowerPoint; R-Plus, MINITAB and MATLAB; UNIX, SQL and Java.
Self-Study: Axis--- Attended Axis training session at University of New York; currently enrolled at a web based trainings.
Solid financial background/knowledge, such as Derivative Theory, Black-Scholes Model, Capital Asset Pricing Model and Fundamental Theorem of Asset Pricing.
Excellent organizational and presentation skills developed through attending public speaking courses and taking part in course projects.
Fluent oral and written communications skills.
Used various mathematical and statistical modeling techniques to perform asset/liability analysis relating to pension benefit payments. Required extensive knowledge of probability theory, contingency of payment, and interest theory.
Prepared various government filings relating to client companies pension accounting.
Evaluated adequacy and competitiveness of current pricing models for personal lines insurance products.
Developed proposals for revised pricing.
Provided statistical analysis of how proposals would impact profitability and competitiveness.
Communicated proposals to senior management.
Responsible for a number of actuarial valuations (defined benefit).
Benefit statements and benefit calculations.
Course in Effective Speaking, Any Town, 20XX – 20XX
Refined effective communication skills.
Developed skills in public speaking.
Society of Actuaries
VEE credit approved: Economics, Corporate Finance, and Applied Statistics.
Passed exams 1 (P), 2 (FM), 3(M), and 4(C).
Cornell University, 20XX – 20XX
Honours Bachelor of Mathematics.
Actuarial Science and Honours Statistics (double major).
1. Actuarial Science: Mathematics of Finance, Actuarial Mathematics, Life Contingencies, Loss Models, Survival Analysis, Introduction to Casualty Insurance in which covers some topics on reinsurance, Asset Liability Management, Corporate Finance and Mathematical Models in Finance.
2. Statistics: Mathematical Statistics, Sampling and Experimental Design, Statistical Theory and Methods, Applied Probability, Applied Linear Models, Simulation, Forecasting, and Statistical Methods for Process Improvements.
New York University, 20XX – 20XX
Pure and Applied Science. Achieved an A overall & major average.
References: Available upon request