Actuarial Analyst, Experience Studies & Business Process Management

Munich Re; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Munich Re Group seeks an Actuarial Analyst to join the Experience Studies & Business Process Management team. 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 teams to deliver insights, uplift analytical capabilities and drive scalable, controlled solutions that improve governance and efficiency.

Qualifications

• Degree in a quantitative discipline (Actuarial Science, Math, Stats, CS).
• Progress towards Fellowship of a recognized actuarial qualification.
• Experience in life and health insurance or reinsurance actuarial functions.
• Strong technical skills in Databricks, SQL and Python; Spark/PySpark advantageous.

Responsibilities

• Support life and health experience studies (mortality, morbidity, lapse, claims).
• Perform data validation, exposure calculations, actual-versus-expected analyses.
• Develop actuarial analytics workflows using Databricks, SQL and Python.
• Interpret and communicate study findings via reports and visuals.

Skills

Actuarial knowledge

Data analysis

Communication skills

Problem solving

Independent work

Team collaboration

Education

Degree in Actuarial Science, Mathematics, Statistics, Computer Science

Tools

Databricks

SQL

Python

Spark/PySpark

Job description

We are seeking an Actuarial Analyst to join our Experience Studies & Business Process Management team. This role combines actuarial expertise with data analytics, automation and AI capabilities to support experience studies, assumption reviews and actuarial process transformation across the life and health reinsurance business. Working closely with actuarial, business and technology stakeholders, you will help deliver actionable insights, enhance analytical capabilities and drive more efficient, scalable ways of working.

Your Role

• Support life and health experience studies, including mortality, morbidity, lapse and claims analysis.
• Perform data validation, exposure calculations, actual-versus-expected analysis, and investigation of 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 applicable governance, data privacy, information security and AI risk management requirements.

Your Profile

• Degree in Actuarial Science, Mathematics, Statistics, Computer Science or another quantitative discipline.
• Progress towards Fellowship of a recognised actuarial qualification.
• Relevant actuarial experience within life and health insurance or reinsurance.
• Experience in experience studies, assumption setting, pricing, valuation or related actuarial functions.
• Strong technical skills in Databricks, SQL and Python; experience with Spark/PySpark is advantageous.
• Experience working with large and complex datasets and analytical workflows.
• Solid understanding of statistical methods and the ability to apply actuarial judgement to business problems.
• Experience developing, evaluating or implementing AI and/or machine learning solutions in a business environment.
• Strong analytical, problem-solving and communication skills.
• Ability to explain technical concepts to both technical and non-technical stakeholders.
• Ability to work independently while collaborating effectively across teams and locations.

Nice to Have

• Experience conducting life and health experience studies across multiple products, portfolios or markets.
• Knowledge of machine learning, credibility theory or advanced statistical techniques.
• Experience with Databricks capabilities such as Delta Lake, Unity Catalog, Workflows or MLflow.
• Exposure to large language model (LLM) applications, retrieval-augmented generation (RAG), API integration or natural language analytics.
• Experience in process improvement methodologies, workflow automation or change implementation.
• Relevant Databricks, analytics or cloud certifications.

We see DEI as a business imperative, helping us to attract, grow and inspire a diverse, inclusive, and equitable workforce that better enable us to serve our customers, investors, and communities. Globally, we strive to build balanced teams across all aspects of difference.