Data Analyst — Regulatory Reporting

Rapsys Technologies Pte Ltd.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Rapsys Technologies Pte Ltd. in Singapore is seeking a Data Analyst specialized in regulatory reporting to ensure accurate MAS 610 submissions and data integrity. You will translate business requirements into data specifications, map sources to targets, and validate data across finance systems.

You will collaborate with Regulatory Reporting, Finance, and IT to implement data quality controls, run SIT/UAT, and develop dashboards in Power BI to communicate reconciliation results and trends.

Qualifications

• Experience translating regulatory reporting requirements into data specifications.
• Strong SQL skills and ability to validate large datasets.
• Knowledge of MAS 610 reporting and data lineage is a plus.
• Experience with regulatory reporting platforms is desirable.

Responsibilities

• Gather, analyse, and document data requirements for regulatory reporting (MAS 610).
• Define and maintain source-to-target data mappings across systems.
• Validate data, perform reconciliations, and support data quality testing.
• Document data lineage, validation rules, and reconciliation processes.
• Develop dashboards to communicate data quality and reporting trends.

Skills

SQL

Data analysis

Regulatory reporting

Data mapping

Data reconciliation

Power BI

Data governance

Tools

Regnology

Agile Reporter

Axiom / AxiomSL

Job description

We're Hiring: Data Analyst — Regulatory Reporting

We are seeking a detail-oriented and analytical Data Analyst to join our team in Singapore. The ideal candidate will have extensive experience in regulatory reporting, data analysis, and compliance. You will play a key role in ensuring accurate reporting and adherence to regulatory requirements while providing insights that drive strategic decisions.

Location: Singapore, Singapore
Work Mode: Work from Office
Role: Data Analyst — Regulatory Reporting

Key Responsibilities

• Gather, analyse, and document data requirements for regulatory reporting, with a particular focus on MAS 610 and related regulatory submissions.
• Define and maintain source-to-target data mappings between upstream banking systems, finance data sources, regulatory reporting data models, and reporting templates.
• Work alongside the IT-led regulatory reporting platform implementation to ensure data requirements are complete, accurate, traceable, and aligned with reporting logic.
• Analyse regulatory reporting data dictionaries, data models, taxonomy, and reporting attributes and translate regulatory requirements into detailed data specifications.
• Perform hands‑on data validation and reconciliation to confirm the completeness and accuracy of data flowing into the regulatory reporting solution.
• Define data quality rules, validation controls, exception criteria, and testing scenarios for regulatory reporting data.
• Execute data quality testing, investigate exceptions, identify root causes, and coordinate remediation with relevant business and technology teams.
• Support the mapping and documentation of Finance and Regulatory Reporting processes, including manual adjustments, journals, reconciliations, and reporting controls.
• Perform reconciliations of regulatory reporting outputs and underlying data back to the General Ledger and other Finance systems.
• Identify gaps between current‑state data and target regulatory reporting requirements and recommend appropriate remediation or transformation rules.
• Support system integration testing, user acceptance testing, parallel runs, and implementation activities related to regulatory reporting data.
• Work closely with Regulatory Reporting, Finance, Data, Risk, and Technology stakeholders to resolve data issues and ensure reporting requirements are understood consistently.
• Produce clear documentation covering data lineage, mapping logic, validation rules, reconciliations, data quality controls, and issue resolution.
• Where appropriate, develop dashboards or visualisations to communicate data quality, reconciliation results, exceptions, and reporting trends.

Required Experience

• 5+ years of experience working with regulatory reporting data within banking or financial services, preferably in an APAC regulatory environment.
• Demonstrable hands‑on experience with MAS 610 regulatory reporting, including data mapping, validation, reconciliation, and reporting requirements.
• Strong experience translating regulatory reporting requirements into detailed data requirements and source-to-target mappings.
• Experience working alongside or supporting a regulatory reporting platform such as:
• Regnology
• Agile Reporter
• Axiom / AxiomSL
• Strong understanding of regulatory reporting data dictionaries, data lineage, reporting attributes, and data models.
• Hands‑on experience defining and testing data quality rules and controls.
• Strong SQL skills, with the ability to query, analyse, reconcile, and validate large and complex datasets.
• Experience with Finance processes relevant to regulatory reporting, including:
• General Ledger reconciliation
• Manual adjustments and journals
• Data aggregation and transformation
• Reporting controls and exception management
• Experience supporting regulatory reporting testing activities, including SIT, UAT, parallel runs, and data validation.

Preferred Skills

• Experience with Power BI or similar data visualisation tools for building data quality, reconciliation, or management reporting dashboards.
• Broader knowledge of Singapore and APAC banking regulatory reporting requirements.
• Experience working on regulatory reporting transformation or platform implementation programmes.
• Understanding of banking products, Finance data architecture, and upstream source systems.
• Familiarity with data governance, metadata management, data lineage, and data quality frameworks.

Key Competencies

• Strong analytical and problem‑solving skills with a high level of attention to detail.
• Ability to work directly with complex datasets and investigate discrepancies through to root cause.
• Strong documentation skills and the ability to translate regulatory and business requirements into clear data specifications.
• Effective stakeholder management across Finance, Regulatory Reporting, Data, and Technology teams.
• Ability to operate effectively in a transformation environment with multiple dependencies and competing priorities.
• Strong communication skills, with the ability to explain complex data issues to both technical and non‑technical stakeholders.