Senior Actuary - Data Analytics - Life Insurance

Senior Actuary - Data Analytics - Life Insurance

Job Title: Senior Actuary - Data Analytics - Life Insurance
Contract Type: Permanent
Location: Sydney
Contact Name: Richard Kirwan
Contact Email:
Job Published: August 01, 2019 05:52

Job Description

The role will analyse and catalogue raw data from multiple sources with a focus on data quality. We are looking for a Senior Actuary to extract, transform and load information from various database platforms and to perform tasks such as data classification, assembly, manipulation to generate consistent data files that feed directly into our reporting processes. A strong programming background would be beneficial. 


  • Interpret data, analyse results using various techniques and provide ongoing reports and data extracts.
  • Prepare and review technical specifications that meet end user requirements and teams coding standards.
  • Develop strategies that help improve data quality and business operating efficiency
  • Production of data for Experience Investigation (EI) work
  • Creation of Data Control Documents (documented controls to allow sign-off of data and use in EI)
  • Acquire data from several different sources (Flat File/Oracle/SQL Server/MS Access/Cloud)
  • Identify, analyse, and interpret trends or patterns in complex data sets




  • Qualified/Part Qualified Actuarial background. 
  • Strong analytical skills with the ability to collect, organise, analyse and disseminate significant amounts of information with attention to detail and accuracy
  • Work key stakeholders to elicit, analyse, communicate and validate requirements and then document these requirements into data specifications.
  • Adept at queries, report writing and presenting findings
  • Proven working experience in the data field (preferably within Financial Services/Insurance Business)
  • Technical expertise regarding data models, design development, data mining and segmentation techniques.
  • Knowledge and experience with Prophet or equivalent projection software.
  • Relevant SQL and database analysis experience.
  • Knowledge and experience using various database solutions for analysing large datasets (Oracle, SQL Server, Excel, MS Access) would be well regarded.