Deskripsi Pekerjaan

• Mempersiapkan perhitungan ATMR untuk Risiko Pasar Bank
• Melakukan proses valuasi pada akhir hari
• Menyusun laporan terkait risiko pasar & likuiditas, dan laporan limit monitoring harian
• Melakukan analisa pengaruh kondisi pasar terhadap eksposur Bank
• Maintain dan update database risiko pasar & likuiditas, baik dari sistem treasury maupun sumber data lainnya

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Hai Sobatika!!!

Kesempatan tidak datang dua kali, kali ini kami mau menginformasikan info beasiswa yang menarik banget nih yaitu Beasiswa Irawati Puteri.

Benefit :

1. Beasiswa tunai Rp5.000.000/ orang
2. 1-on – 1 Mentorship Daftar Kampus LN Ternama
3. E-certificate dual bahasa (Indonesia & Inggris)
4. Networking dengan pemuda/i
   berprestasi

Persyaratan :

1. Warga Negara Indonesia (WNI).
2. Terdaftar sebagai mahasiswa aktif D3/D4/S1/S2 (tidak terbatas pada tingkat/jurusan tertentu).
3. Tanpa syarat IPK & syarat tingkat ekonomi keluarga.
4. Penerima beasiswa pemerintah/swasta diperbolehkan mendaftar.
5. Mengirimkan esai maksimal 300 kata atau 3000 karakter berisi tentang (Harapanmu untuk Indonesia dan tujuan karirmu serta bagaimana beasiswa ini bisa membantu)

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Job Descriptions :

• Analyze financial statements, discrepancies in financial statements and business movements through financial statements
• Validate business-related income and expenses through bank statements
• Evaluate current risks and identify potential risks that affect the company based on the results of financial information
• Conduct risk evaluation by evaluate the financial risks and business risks using Akseleran Risk Assessment standard
• Reviewing any new substantial contracts that are important to the borrower and the ability to pay debts of prospective debtor

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Job Descriptions

Responsibilities :

• Build scalable & reliable data platforms using a high degree of automation in setup and maintenance.
• Create and optimize key ETL pipelines on both batch and streaming data, data product APIs, and modern & scalable data infrastructure.
• Identify, design, and implement internal process improvements: automating manual processes, and optimizing data delivery.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Quality Management, timely delivery of routine and custom requests.
• Data Management Lifecycle.
• Data Warehousing

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