Risk Actuary
Risk Actuary
We are seeking a highly skilled and motivated Operational Risk Actuary to join an innovative and dynamic team. The successful candidate will play a critical role in identifying, assessing, and managing operational risks for a leading life and annuity reinsurance firm. This position offers an exciting opportunity to work closely with senior management and contribute to the development and implementation of robust risk management frameworks.
Key Responsibilities:
- Risk Identification and Assessment:
- Identify and evaluate operational risks across various business units.
- Conduct risk assessments and scenario analyses to quantify potential impacts.
- Risk Management and Mitigation:
- Develop and implement risk management strategies and controls.
- Monitor and report on the effectiveness of risk mitigation measures.
- Data Analysis and Modeling:
- Analyze data to identify trends and emerging risks.
- Develop and maintain risk models to support decision-making processes.
- Regulatory Compliance:
- Ensure compliance with relevant regulatory requirements and industry standards.
- Prepare and present risk reports to regulatory bodies and internal stakeholders.
- Collaboration and Communication:
- Work closely with other departments to promote a risk-aware culture.
- Communicate risk-related findings and recommendations to senior management.
Qualifications:
- Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field.
- Fellow of the Society of Actuaries (FSA) or equivalent professional designation.
- Minimum of 5 years of experience in operational risk management within the reinsurance industry.
- Strong analytical and problem-solving skills.
- Proficiency in risk modeling and statistical analysis software.
- Excellent communication and interpersonal skills.
- Ability to work independently and as part of a team.
Preferred Skills:
- Experience with life and annuity insurance products.
- Knowledge of regulatory frameworks such as ORSA (Own Risk and Solvency Assessment).
- Advanced proficiency in data analytics tools and programming languages (e.g., R, Python).
FAQs
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