Munich Re Group is one of the world's leading providers of reinsurance. As pioneers in risk assessment, we drive the digital transformation of the global insurance landscape, expanding products and services as new forms of risk emerge. From space rocket launches to cyber-attacks, from high-net worth individuals to pandemics, we take care of risks so our clients can take care of their businesses.We are looking for an Actuarial Data Analyst to support the Southeast Asia, Life and Health In-Force Management and Terms of Trade team at Munich Re Singapore.In this role, you will combine actuarial knowledge with data analytics skills to analyze experience data using tools like Python, SQL, Power BI, and Databricks. You will be supporting the Key Treaty Monitoring (KTM) project, which tracks treaty performance and generates actionable insights to drive key business decisions.You will also conduct investigations on loss ratios, claims experience, respond to ad-hoc data queries, and collaborate closely with other teams to support ongoing and prospective treaty discussions.This role offers an unique opportunity to apply actuarial and data skills in a commercially focused, innovation-driven reinsurance environment.Your RoleAnalyse treaty terms and product features in collaboration with actuarial and accounting teams to ensure accurate interpretation and implementation onto KTMLead the onboarding of new treaties into KTM, ensuring accurate mappings, data consistency, and validation of resultsMaintain high data quality by performing comprehensive checks, cleaning, and reconciliations, supporting in-force portfolio management and pricing analysisDesign and maintain dashboards on Excel and Power BI, to visualize, monitor, and analyse client data for business decision-makingConduct ad-hoc analyses, including premium reconciliations, claims investigations, and preparation of datasets for experience studies and management reportingLiaise with clients and internal stakeholders to identify, investigate, and resolve data issues, ensuring robust documentation and consistent data standardsReview and validate analytical outputs and data processes to ensure accuracy, and uphold high quality output from the teamContribute to innovation efforts, including prototyping and integrating GenAI capabilities using in-house AI platforms and APIsYour ProfileBachelor's degree in Actuarial Science, with a interest in expanding into data analyticsMinimum 3 years of experience in actuarial - related roles; experience in life insurance industry is advantageousProficient in Excel (can perform complex functions) and SQL, with hands-on experience in data automation and managing large datasetsProficient in data visualization, particularly using Power BI to develop clear and insightful dashboardsStrong analytical and problem-solving skills to interpret complex data structures and ensure high levels of data accuracy through validation and reconciliationDetail-oriented with a strong sense of ownership and initiative in driving tasks to completionOur BenefitsFlexible and hybrid working arrangementGenerous annual leave allowanceComprehensive dental, life and health insurance coverageAt Munich Re, we embrace, and value, the interaction of diverse backgrounds, experience, perspectives and thought. This interaction is the foundation of our open culture, spirit of partnership, of how our teams are built and cultivated, and of how we are supported and developed. And at the centre of this interaction is each of us.
