Join our dynamic team as an Assistant Actuarial Manager within the Reinsurance (RI) Hub. You will lead and optimize reinsurance data operations, ensuring data integrity, supporting strategic decision-making, and mentoring a team of junior professionals. Leverage your actuarial expertise and data analytics skills to drive excellence in data management and reporting.

Key Responsibilities

• Data Operations & Quality Assurance
• Validate premium and claims bordereaux data from client insurers for accuracy and compliance.
• Implement robust data validation processes across various reinsurance treaties.
• Maintain booking cashflows in collaboration with valuation and finance teams.
• Financial Reconciliation & Settlement
• Reconcile bordereaux data with reinsurance treaties to confirm Statements of Account.
• Manage the settlement approval process, meeting internal and regulatory targets.
• Reporting & Data Product Development
• Consolidate data validation and settlement records for management and stakeholder reporting.
• Prepare premium and claims bordereaux and Statements of Account for reinsurers.
• Develop high-quality data products to support actuarial valuations and experience studies.
• Process Improvement
• Standardize data validation and data product preparation processes to enhance efficiency and consistency.
• Lead projects aimed at optimizing data operations and implementing best practices.
• Stakeholder Management
• Communicate proactively with insurers, brokers, reinsurers, and internal teams to address data and settlement matters.
• Negotiate with external parties to balance their interests with internal targets.
• Collaborate with pricing and valuation teams to deliver actionable data products for strategic decisions.
• Team Leadership
• Mentor and guide junior staffs, fostering their professional development and enhancing team performance.
• Lead project initiatives, ensuring timely and successful implementation of process improvements.

Qualifications

• Education & Experience
• Bachelor’s degree in Actuarial Science, Statistics, Data Analytics, or a related field.
• Minimum of 5 years in data analytics, statistics, or actuarial roles within the insurance or reinsurance industry.
• At least 2 years of supervisory experience, demonstrating effective team leadership.
• Solid understanding of reinsurance principles and regulatory requirements is highly preferred.
• Progress towards or completion of SOA actuarial credentials is advantageous.
• Technical Skills
• Proficient in MS Excel, Python, and SQL.
• Strong analytical and problem-solving abilities with meticulous attention to data quality.
• Communication & Interpersonal Skills
• Excellent written and verbal communication skills in both English and Chinese.
• Ability to clearly articulate complex actuarial concepts and collaborate with diverse stakeholders.
• Professional Attributes
• Proactive and detail-oriented with the ability to manage multiple priorities independently.
• Demonstrates ethical judgment and integrity in all professional activities.