As a SAS Data Integration Specialist, you will manage data ingestion into SAS environments and ensure data integrity to support IFRS17 processing. You will work across multiple data sources, perform data quality validations, and support reconciliations that enable accurate actuarial and reporting outputs.
What You’ll Do and How You’ll Succeed
- Manage ingestion of data into SAS environments from multiple sources including files, APIs, and databases.
- Perform data quality checks, validations, and reconciliation activities to support accurate IFRS17 processing.
- Collaborate with actuarial, finance, and IT teams to understand data structures and reporting requirements.
- Develop and maintain SQL queries, scripts, and ETL processes for data integration tasks.
- Identify and troubleshoot data issues to resolve inconsistencies across datasets.
- Support documentation of data lineage, ingestion processes, and validation procedures.
- Ensure compliance with internal controls and regulatory requirements within controlled environments.
We’d Love to Hear From You If…
Experience
- You have 5 to 8 years of experience in SAS data integration, data validation, or financial data processing.
Technical Expertise
- Hands on experience handling data ingestion into SAS environments.
- Strong SQL and data validation skills.
- Experience managing interfaces across files, APIs, and database ingestion.
- Familiarity with data quality checks and reconciliation processes.
- Understanding of financial or contract level data structures is preferred.
- Experience supporting IFRS17 processing or actuarial data pipelines is an advantage.
- Familiarity with enterprise data management tools and controlled environment practices is a plus.a plus.
Ways of Working
- Strong analytical and problem solving skills.
- Effective communication and teamwork across business and technical groups.
- Clear and structured documentation of processes and findings.
Assignment Details
- Location: Singapore
- Work Setup: Onsite
- Employment Type: Contract
- Contract Duration: 12 months