Actuarial Analyst
Singapore, Singapore
Actively hiring, first seen by us today- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingSupport 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.
Develop and maintain actuarial analytics and experience study workflows using Databricks, SQL, Python and PySpark.
From the employer’s posting
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.
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.
Tools in this posting
- Python
- SQL
- Databricks
- Delta Lake
- MLflow
- Spark
- PySpark
Source — Tool mentions in context
- 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.
- 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.
- 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. If you are interested in the role and believe you could contribute, we encourage you to apply even if your experience doesn't perfectly match every qualification.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 4, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
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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. If you are interested in the role and believe you could contribute, we encourage you to apply even if your experience doesn't perfectly match every qualification.
Source details
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- Location & working pattern
Singapore, Singapore
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