chief risk officer (insurance)
Randstad
- Kuala Lumpur
- Permanent
- Full-time
- Manage all local and group regulatory risk-related topics, including reporting and implementing new regulations.
- Provide risk leadership at the management level on the implications of regulatory changes and identify value-add opportunities.
- Ensure compliance with local regulatory and group requirements on risk management policies and guidelines.
- Produce clear quantitative analysis for decision-making on new products, underwriting, reinsurance, portfolio monitoring, strategic planning, and other key decisions.
- Deliver comprehensive risk evaluations/opinions to local management/Board and/or regional CRO.
- Perform regular operational risk assessments and engage with the first line to ensure effective operational risk management.
- Identify, assess, and manage digital risks across the companies by implementing relevant frameworks and technical measures.
- Lead Board and Executive level Risk Management Committees by producing clear presentation packs, presenting independent risk opinions, and steering meetings.
- Ensure follow-up actions are performed based on committee decisions.
- Motivate and retain a high-quality team to achieve desired productivity and standards.
- Build a performance-enabling culture and provide guidance for the team to excel.
- Promote diversity, equity, and inclusion within the team.
- Degree and/or post-graduate degree with a concentration in quantitative/financial discipline.
- Professional qualifications in actuarial science or completion of professional insurance qualifications are advantageous.
- Over 10 years of experience in the insurance industry in Risk, Finance, or Actuarial functions.
- Experience in a multinational environment is essential.
- Experience working as part of the senior management team and interacting with regulators and the Board is preferred.
- Strong knowledge of insurance products, practices, and drivers of the balance sheet and P&L.
- Understanding of local RBC, economic capital, and Solvency 2 models.
- Ability to operate autonomously and lead a team in an evolving environment.
- Excellent analytical skills and experience analyzing large amounts of data.
- Excellent communication skills and ability to present complex issues to non-technical senior management and CEOs.