Actuarial Data & AI Analyst

Munich Reinsurance; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

Munich Reinsurance seeks an Actuarial Analyst to join the Experience Studies & Business Process Management team in Singapore. This role blends actuarial expertise with data analytics, automation and AI to support experience studies, assumption reviews and process transformation across life and health reinsurance.

You will collaborate with actuarial, business and technology stakeholders to deliver insights, enhance analytics capabilities and drive scalable, controlled solutions.

Qualifications

• Degree in Actuarial Science, Mathematics, Statistics, Computer Science or another quantitative discipline.
• Progress toward Fellowship of a recognised actuarial qualification.
• Experience in life and health insurance or reinsurance actuarial work.
• Strong Databricks, SQL and Python; Spark/PySpark is a plus.
• Experience with large datasets and analytical workflows.
• Ability to explain technical concepts to both technical and non-technical stakeholders.

Responsibilities

• Support life and health experience studies, including mortality, morbidity, lapse and claims analysis.
• Perform data validation, exposure calculations, actual-versus-expected analysis, and investigate experience trends.
• Apply actuarial and statistical techniques to support assumption reviews and experience analysis.
• Interpret and communicate study findings through reports, presentations and visualisations.
• Develop and maintain actuarial analytics and experience study workflows using Databricks, SQL, Python and PySpark.
• Prepare, reconcile and analyse policy, exposure and claims data, investigating data quality issues and their impact on results.
• Support the enhancement and modernisation of actuarial tools, models and analytical processes.
• Collaborate with actuarial, business and technology teams to deliver scalable and controlled analytical solutions.
• Identify opportunities to improve actuarial processes through automation, workflow optimisation and standardisation.
• Support process improvement initiatives, including process mapping, testing, implementation and user adoption.
• Explore and assess AI and machine learning applications to enhance actuarial analysis and operational efficiency.
• Ensure solutions comply with governance, data privacy, information security and AI risk management requirements.

Skills

Actuarial analysis

Data analytics

AI/ML exposure

Stakeholder communication

Independent work

Education

Actuarial/quantitative degree

Fellowship progress

Tools

Databricks

SQL

Python

Spark/PySpark

Job description

Munich Reinsurance seeks an Actuarial Analyst to join the Experience Studies & Business Process Management team in Singapore. This role blends actuarial expertise with data analytics, automation and AI to support experience studies, assumption reviews and process transformation across life and health reinsurance.

You will collaborate with actuarial, business and technology stakeholders to deliver insights, enhance analytics capabilities and drive scalable, controlled solutions.