Regional Compliance & Fraud Risk Leader

PT Korea Tomorrow & Global TSPM

Jakarta Pusat

On-site

IDR 420,000,000 - 520,000,000

Full time

8 days ago

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Job summary

PT Korea Tomorrow & Global TSPM in Jakarta centers on strengthening compliance and data-driven controls across operations. The role demands leading regional teams, developing monitoring systems, and mitigating fraud through analytical insight.

You will collaborate with Head Office, mentor staff, and apply governance standards in FMCG sales and distribution, leveraging Excel, SQL, Power BI or Tableau. Advanced English required.

Qualifications

  • Minimum 5 years in data analytics or data engineering with at least 3 years in a managerial role.
  • Background in FMCG Sales & Marketing or corporate governance is preferred.
  • Fluent English required.

Responsibilities

  • Develop and implement monitoring systems to ensure compliance and integrity across operations.
  • Identify, prevent, and mitigate fraudulent or unethical practices.
  • Oversee regional compliance activities and ensure adherence to policies and regulations.
  • Analyze operational patterns to detect irregularities and devise preventive measures.
  • Coordinate with Head Office and regional teams to drive accountability and transparency.
  • Provide leadership and development for staff to achieve compliance objectives.
  • Apply governance frameworks and audit principles in sales and distribution.

Skills

Leadership
Data analysis
Problem solving
Time management
Negotiation

Education

Bachelor’s in Business Administration / Management / Industrial Engineering / Economics

Tools

Excel (Pivot, VBA, Power Query)
SQL
Power BI
Tableau

Job description

PT Korea Tomorrow & Global TSPM in Jakarta centers on strengthening compliance and data-driven controls across operations. The role demands leading regional teams, developing monitoring systems, and mitigating fraud through analytical insight.

You will collaborate with Head Office, mentor staff, and apply governance standards in FMCG sales and distribution, leveraging Excel, SQL, Power BI or Tableau. Advanced English required.

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