Data Analyst — Regulatory Reporting

RAPSYS TECHNOLOGIES PTE LTD; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

RAPSYS TECHNOLOGIES PTE LTD in Singapore seeks a detail‑oriented Data Analyst to join the regulatory reporting team. You will gather data requirements for MAS 610 submissions, map data from upstream systems to target reporting models, and ensure accuracy and traceability of data across the platform.

The role emphasizes data quality, reconciliation, and cross‑functional collaboration with Finance, Risk, and IT.

Qualifications

• 5+ years of experience in regulatory reporting data within banking or financial services.
• MAS 610 regulatory reporting experience including data mapping, validation and reporting requirements.
• Strong ability to translate regulatory reporting requirements into data requirements and source-to-target mappings.
• Experience supporting regulatory reporting platforms such as Regnology, Agile Reporter, or Axiom/AxiomSL.

Responsibilities

• Gather, analyse, and document data requirements for MAS 610 regulatory submissions.
• Define and maintain source-to-target data mappings between upstream systems, finance data sources, and reporting templates.
• Collaborate with IT-led regulatory reporting platform implementations to ensure data accuracy and traceability.
• Perform data quality testing, data dictionaries review, and reconciliation of outputs to General Ledger and Finance systems.

Skills

SQL

Power BI

Data quality

Data lineage

Regulatory reporting knowledge

Stakeholder management

Analytical skills

Tools

Regnology

Agile Reporter

Axiom / AxiomSL

Job description

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.

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.
• 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.