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Lim Yu Shan

Lim Yu Shan

Final Year Actuarial Science Student at NTU

Talent
SingaporeMember since October 15, 2024
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About

Detail-oriented and motivated aspiring actuary with two internship experiences in the insurance industry, seeking a full-time actuarial role. Expected to graduate in July 2025, with a strong commitment to understanding various actuarial functions in the insurance industry while leveraging foundational actuarial knowledge, strong analytical and problem-solving skills. Eager to embrace challenges and dedicated to completing all actuarial exams within three years post-graduation to build a solid foundation for a successful actuarial career.

Experience

Prudential Assurance Company Singapore (Actuarial Pricing Intern)

  • Developed a simplified, user-friendly pricing calculator for distribution team, incorporating features such as premium comparisons for different loadings and life statuses.
  • Handled over 150 queries related to Protection Products, including RBI generation, policy reinstatements, death claims, bonuses and more.
  • Performed UAT with more than 5,000 test cases, automated the process using Excel VBA. 
  • Prepared and reviewed documentation including computational specs, compensation specs and policy illustrations template for the PruJourney platform.
  • Assisted in updating, extracting and monitoring key data for PruShield claims, lapses and ageing.

Tokio Marine Insurance Group, Malaysia (Motor Underwriting Intern)

  • Automated premium calculation using Excel VBA to streamline competitor analysis.
  • Enhanced private car pricing calculator with new vehicle models and refined rating factors for more accurate and comprehensive pricing assessments. 
  • Prepared premium breakdowns for pending approval and information amendment cases.
  • Conducted portfolio monitoring and analysis through data visualization and BI tools, ensuring the profitability and stability of each portfolio.

Education

Nanyang Technological University, Singapore

  • Bachelor of Business with Specialisation in Actuarial Science
  • Current CGPA 4.45/5.00
  • Relevant Coursework: Python, Financial Management, Intermediate Excel, Mathematics of Finance, Statistical Modelling, Models, Life Contingencies and Demography, Actuarial Statistics

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