Banking Data Migration & Mapping Lead

JAC RECRUITMENT PTE. LTD.; Singapore; On-site; SGD 70,000 - 110,000; Full time

Job summary

JAC Recruitment Pte. Ltd. in Singapore is seeking a Data Migration & Mapping Analyst to support a large-scale banking transformation project.

You will drive data mapping, migration, and validation across multiple banking systems and business domains. You will collaborate with regional teams, vendors, and technology stakeholders to ensure successful delivery, with emphasis on data dictionaries, lineage, and rigorous data quality.

Qualifications

• 6+ years' experience in banking or financial services projects.
• Strong background in data mapping, migration, and system integration.
• Good understanding of banking products and data domains.
• Experience with data dictionaries, lineage, and source-to-target mapping.
• Strong analytical, problem-solving, and stakeholder management skills.
• Knowledge of SQL and data validation techniques is advantageous.

Responsibilities

• Lead source-to-target data mapping and migration activities.
• Maintain data dictionaries, data lineage, and mapping documentation.
• Define and validate data transformation rules and business requirements.
• Partner with stakeholders across Lending, Payments, Trade Finance, Markets, and Finance.
• Conduct data analysis, reconciliation, and data quality assessments.
• Support SIT, UAT, and production migration activities.
• Collaborate with regional teams, vendors, and technology stakeholders to ensure successful delivery.

Skills

Data mapping

Data migration

Data analysis

Stakeholder management

SQL

Data validation

Job description

JAC Recruitment Pte. Ltd. in Singapore is seeking a Data Migration & Mapping Analyst to support a large-scale banking transformation project.

You will drive data mapping, migration, and validation across multiple banking systems and business domains. You will collaborate with regional teams, vendors, and technology stakeholders to ensure successful delivery, with emphasis on data dictionaries, lineage, and rigorous data quality.