(Senior) Actuarial Analyst, Digital Solutions

Munich Re Automation Solutions; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Munich Re Digital Solutions seeks a (Senior) Actuarial Analyst to drive actuarial analytics across the full lifecycle of digital analytics projects. You will partner with data scientists, underwriters and consultants to ensure rigour, clear communication and robust risk management in every solution.

Key responsibilities include data discovery, validation, risk assessment and post-implementation monitoring. You will translate insights for technical and non-technical stakeholders and contribute to

Qualifications

• 3+ years of experience in life or health insurance or reinsurance.
• Experience with actuarial analytics such as experience studies.
• Familiarity with AI/ML use cases in the insurance industry.
• Proficient in Python and SQL; able to build reproducible analyses.
• Experience with actuarial software (e.g., AXIS) is a strong plus.

Responsibilities

• Data discovery and assessment of diverse data sources and requirements.
• Validation of analytics findings with benchmark analyses and back-testing.
• Document assumptions, methods and controls for governance and audit.
• Define post-implementation monitoring frameworks and KPIs.
• Collaborate with data scientists, underwriters and consultants to deliver projects on time.

Skills

Python

SQL

AI/ML familiarity

Actuarial analytics

Communication

Education

Actuarial qualification

Tools

AXIS

Job description

Munich Re Digital Solutions

Big data, artificial intelligence and advanced analytics are reshaping the life and health insurance value chain — and Munich Re is at the forefront of this shift, investing in modern analytics infrastructure, regional centres of competence, and partnerships that deliver measurable outcomes for clients worldwide.

Munich Re Digital Solutions

Big data, artificial intelligence and advanced analytics are reshaping the life and health insurance value chain — and Munich Re is at the forefront of this shift, investing in modern analytics infrastructure, regional centres of competence, and partnerships that deliver measurable outcomes for clients worldwide.

We're looking for a (Senior) Actuarial Analyst to bring actuarial expertise across the full lifecycle of digital analytics projects — from discovery and validation through to implementation and monitoring. You'll work closely with data scientists, underwriters, business consultants and client stakeholders to ensure actuarial rigour, clear communication and robust risk management in every solution we deliver.

Your Role

Data Discovery and Assessment

• Perform initial assessment of diverse data sources, including data quality, completeness and suitability.
• Conduct exploratory analysis and define data requirements and assumptions.

Validation and Insight Translation

• Validate analytics findings through benchmark analyses, back-testing and sanity checks.
• Quantify impacts, interpret results and communicate implications to technical and non-technical stakeholders.

Risk Implications and Documentation

• Support methodology development, scenario design and projections for risk implication exercises.
• Prepare clear documentation of assumptions, methods and controls for governance and audit.

Implementation and Monitoring

• Define post-implementation monitoring frameworks and KPIs.
• Perform ongoing experience analyses, detect and upscale adverse trends and recommend remedial actions.

Stakeholder Collaboration and Delivery

• Work in cross-functional teams with data scientists, underwriters and business consultants to deliver projects on time.
• Provide analytical support for internal and external ad hoc requests and contribute to client presentations and reports.

Your Profile

• Associate or nearly/newly qualified actuary from a recognised actuarial body (ASA, FSA, FIA, FFA or FIAA).
• 3+ years of experience in life or health insurance or reinsurance.
• Experience with actuarial analytics (e.g., experience studies).
• Familiarity with AI/ML use cases in the insurance industry.
• Proficient in Python and SQL; able to build reproducible, well-documented analyses.
• Experience with actuarial software (e.g., AXIS) will be a strong advantage.
• Demonstrated technical and analytical capability, with logical, structured problem-solving skills and attention to detail.
• Solid understanding of life insurance operations (underwriting, actuarial, risk management and claims).
• Collaborative team player with high ownership, the ability to work independently and adaptability in a dynamic business environment.
• Effective prioritisation skills; comfortable managing timelines and balancing multiple deliverables.
• Willingness to learn in a dynamic environment; proactive and accountable, with a strong sense of ownership.

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.