EY

Actuarial - Life Insurance (Financial Services), Manager/Senior Manager, Risk Consulting

EY
BusinessSG, 048583Full-time1 weeks ago

About the role

AI summarised

Manager/Senior Manager role in Risk Consulting at a Big 4 firm, specializing in actuarial services for life insurance clients. The role involves leading actuarial modeling, financial reporting, and risk management projects, with a focus on IFRS 17 and Solvency II.

BusinessFull-timeGeneral

Key Responsibilities

  • Lead and manage actuarial engagements for life insurance clients, including valuation, modeling, and financial reporting.
  • Advise clients on IFRS 17 implementation, Solvency II, and other regulatory requirements.
  • Develop and review actuarial models using tools such as Prophet, AXIS, or MoSes.
  • Manage project teams, including planning, execution, and delivery of high-quality work.
  • Build and maintain strong client relationships, identifying opportunities for additional services.
  • Contribute to business development activities, including proposals and thought leadership.
  • Mentor and develop junior team members, providing technical guidance and feedback.
  • Stay current with industry trends, regulatory changes, and emerging risks in the life insurance sector.

Requirements

  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field.
  • Fellow of the Society of Actuaries (FSA) or Fellow of the Institute of Actuaries (FIA).
  • Minimum 5 years of experience in life insurance actuarial roles, with at least 2 years in a consulting environment.
  • Strong technical knowledge of IFRS 17, Solvency II, and US GAAP for insurance.
  • Proficiency in actuarial modeling software such as Prophet, AXIS, or MoSes.
  • Excellent analytical and problem-solving skills.
  • Strong communication and presentation skills, with the ability to explain complex concepts to non-technical stakeholders.
  • Proven project management and team leadership experience.
  • Ability to travel occasionally for client engagements.
  • Experience with data analysis tools such as Excel, VBA, or Python is preferred.