Senior Actuary Data & Transformation

Our client is a leading global insurance organization with a significant presence across Asia and internationally. As part of a major actuarial transformation agenda, they are looking for an experienced Senior Actuary with strong data and transformation expertise to support the modernization of actuarial processes, systems and data capabilities.

This is a senior actuarial role requiring an experienced actuary who can combine deep insurance and actuarial knowledge with practical understanding of data and technology. The successful candidate will work closely with Actuarial, Finance, Data and Technology stakeholders, helping translate complex actuarial requirements into practical data and technology solutions.

As a Senior Actuary – Data & Transformation , you will be responsible for the following:-

1. Act as a senior actuarial subject matter expert across key actuarial transformation initiatives.
2. Work closely with Actuarial, Finance, Data and Technology stakeholders to understand business requirements and transformation priorities.
3. Translate complex actuarial requirements, methodologies and data needs into structured requirements for Data Engineering and Technology teams.
4. Provide actuarial expertise across areas such as valuation, reserving, pricing, capital, solvency, regulatory reporting and actuarial modelling.
5. Review existing actuarial processes, data flows and systems and identify opportunities for automation, simplification and modernization.
6. Support the design and implementation of future-state actuarial data, systems and technology solutions.
7. Provide subject matter expertise across actuarial data quality, data structures, governance, controls and reporting.
8. Bridge communication between actuarial stakeholders and Data / Technology delivery teams to ensure business requirements are accurately understood and implemented.
9. Support transformation initiatives involving actuarial systems, models, reporting platforms and data environments.
10. Bring relevant market practices and transformation experience gained from previous insurance and consulting engagements.
11. Work effectively with regional and offshore delivery teams throughout the transformation lifecycle.

To be considered for the role of Senior Actuary – Data & Transformation , you possess the following:-

1. A university degree in Actuarial Science, Mathematics, Statistics or a related quantitative discipline.
2. A minimum of 10 years of relevant actuarial / insurance experience, with substantial hands-on experience working as an actuary.
3. Strong actuarial experience across one or more areas such as valuation, reserving, pricing, capital, solvency, actuarial modelling, regulatory reporting or IFRS 17.
4. Strong experience working with actuarial data and supporting data-, systems- or technology-enabled transformation initiatives.
5. Good understanding of how actuarial business requirements translate into data and technology solutions.
6. Practical exposure to areas such as data transformation, data quality, data governance, data migration, ETL, data modelling, reporting automation or actuarial systems implementation.
7. Previous Big 4 actuarial / insurance consulting experience would be highly preferred. Candidates from other leading actuarial or insurance consulting firms with comparable experience will also be considered.
8. Professional actuarial qualification such as FIA, FSA, FHKSA or equivalent would be highly advantageous.
9. Previous Life Insurance experience would be preferred.
10. Experience with actuarial platforms or modelling tools such as Prophet, MoSes, AXIS, ResQ or equivalent would be advantageous.
11. Exposure to SQL, SAS, Python, R or other data / analytical technologies would be beneficial.
12. Strong stakeholder management skills with the ability to engage effectively across Actuarial, Finance, Data and Technology functions.
13. Excellent English communication skills; Cantonese would be advantageous but is not mandatory.
14. Previous experience working with offshore or regional Technology / Data delivery teams would be advantageous.