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Salary
≈ $13k – $39k per year (Estimated)
Location
In office (Jakarta)

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Jul 28, 2025. OCBC NISP scores C on the Alion truth index.

Overview
Company
Impact
Profile match
OCBC NISP is an Indonesian bank offering savings, business banking and investment solutions to personal and corporate customers. It hires premier banking business developers, enterprise banking credit analysts, treasury and wealth operations officers and marketing technology interns. The bank is headquartered in Jakarta, Indonesia.
  • Data Quality Scorecard
  • Menyusun laporan bulanan scorecard data quality untuk Group (tanpa komponen accuracy).
  • Menjalin koordinasi lintas unit untuk mengumpulkan data dan klarifikasi.
  • Menyampaikan laporan ke Group secara tepat waktu dan sesuai format mandatory.
  • Mengembangkan dan memelihara scorecard yang lebih komprehensif, mencakup dimensi data quality dan monitoring CDE.
  • Model Compliance
  • Mengelola aktivitas compliance terhadap framework FEAT, khususnya terkait penggunaan data untuk model dan AI.
  • Menyusun dokumentasi compliance dan mendampingi proses review internal maupun eksternal.
  • Bekerja sama dengan tim modeling dan IT dalam menyesuaikan pengembangan model dengan prinsip FEAT.
  • ESG Data Governance
  • Mendukung pengembangan dan implementasi ESG data governance framework.
  • Berkoordinasi dengan unit ESG dan Sustainability dalam mengidentifikasi dan mengelola CDE terkait ESG.
  • Memastikan data ESG tersedia, berkualitas, dan terdokumentasi dengan baik untuk keperluan pelaporan dan strategi.

Requirements

Kriteria

Job Requirement

Pendidikan Minimal

Minimal S1 diutamakan memiliki latar belakang Finance, Teknik, dan Matematika / Statistik

Pengalaman

Minimal 3 tahun di bekerja bidang data management dan pelaporan MIS di perbankan

Skill Teknis

  • Ms. Excel dan Ms. Powerpoint
  • SQL query
  • Python
  • Banking knowledge terutama credit risk management
  • Prinsip-prinsip data governance dan data quality
  • Bahasa Inggris (reading/writing & speaking)
  • Diutamakan memiliki pemahaman tentang modeling konvensional dan machine learning
  • Diutamakan yang familiar terhadap FEAT (Fairness, Ethics, Accountability, Transparency), dan ESG data

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