Data Analyst -Regulatory Reporting

Tap Growth ai; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Tap Growth ai in Singapore is seeking a Data Analyst focused on regulatory reporting to join our team. You will gather, validate, and document data requirements for MAS 610 submissions and work across finance, risk, and IT to ensure accurate reporting.

The role emphasizes data mapping, data quality controls, and hands-on data validation, with opportunities to build dashboards in Power BI and contribute to platform implementation and testing.

Qualifications

• 5+ years of experience with regulatory reporting data in banking/financial services (APAC preferred).
• MAS 610 regulatory reporting data mapping, validation, and reconciliation experience.
• Experience translating regulatory requirements into data specifications and source-to-target mappings.

Responsibilities

• Gather, analyse, and document data requirements for MAS 610 regulatory submissions.
• Define and maintain source-to-target mappings between banking systems, finance data sources, and reporting templates.
• Validate data and ensure completeness/accuracy of data flowing into the reporting solution.
• Define data quality rules, validation controls, and testing scenarios for regulatory data.

Skills

SQL

Data analysis

Regulatory reporting

Tools

Regnology

AxiomSL

Agile Reporter

Job description

We're Hiring: Data Analyst - Regulatory Reporting!

We are looking for a skilled Data Analyst with expertise in regulatory reporting to join our dynamic team. The ideal candidate will possess analytical prowess, attention to detail, and the ability to interpret complex data sets to ensure compliance with industry regulations.

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

What You'll Do

• 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 visualization 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.