Payments Analytics & Fintech Partnerships Manager

Hong Leong Bank

Kuala Lumpur

On-site

MYR 70,000 - 110,000

Full time

14 days+
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Job summary

Hong Leong Bank in Malaysia seeks a data-driven analytics professional to coordinate regulatory and management reporting, consolidate data feeds, and build analytical models for portfolio optimization.

You will design SQL/Power BI dashboards, ensure on-time submissions, govern data with auditable trails, and liaise with data providers to validate assumptions and improve automation across reporting workflows.

Responsibilities

  • Regulatory & Management Reporting: Prepare, consolidate, and submit routine departmental management reports and statutory/regulatory reports to external regulators and payment networks, ensuring accuracy and full compliance with reporting guidelines.
  • Data Extraction & Reconciliation: Extract raw merchant transaction feeds and perform rigorous data validation — reconciling MCCs, postcodes, settlement dates, and transaction volumes, and identifying duplicates or anomalous records.
  • Portfolio Analytics & Business Modelling: Build and maintain analytical models to support portfolio optimization — merchant segmentation, yield and pricing analysis, forecasting, and scenario/what-if modelling.
  • Dashboards & Self-Service Reporting: Design and maintain SQL/Power BI-driven dashboards giving business leads real-time visibility into merchant trends, portfolio health, and yield performance.
  • UAT & New Reporting/Model Setup: Lead User Acceptance Testing for new internal reporting or analytical models, validating data definitions and logic against IT source files.

Skills

SQL
Power BI
Python

Tools

SQL
Power BI
Python

Job description

Hong Leong Bank in Malaysia seeks a data-driven analytics professional to coordinate regulatory and management reporting, consolidate data feeds, and build analytical models for portfolio optimization.

You will design SQL/Power BI dashboards, ensure on-time submissions, govern data with auditable trails, and liaise with data providers to validate assumptions and improve automation across reporting workflows.

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