Akulaku Indonesiamembuka lowonganData Scientist
Akulaku is a leading banking and digital finance platform in Southeast Asia, with a presence in Indonesia, the Philippines, and Malaysia. Akulaku exists to help meet the daily financial needs of underserved customers in emerging markets through digital banking, digital financing, digital investment, and insurance brokerage services.
In addition to the Akulaku virtual credit card and ecommerce platform, the company operates Asetku, an online wealth management platform and Neobank, a mobile digital bank supported by Bank Neo Commerce. Akulaku’s mission is to serve 50 million users across Southeast Asia by the year 2025.
Ringkasan
- Perusahaan :
- Akulaku Indonesia
- Situs :
- https://www.akulaku.com/
- Industri :
- Financial Services
- Kategori :
- Analis Peneliti
- Status Pekerjaan :
- Full Time
- Pola Kerja :
- OnSite
- Jam Kerja :
- 40 Jam/Minggu
- Perolehan Gaji :
- Negotiable
- Pengalaman :
- 4 Tahun Pengalaman
- Lokasi Kerja :
- Jakarta
- Tanggal Berakhir :
- 30 September 2025
Deskripsi Pekerjaan
- Perform qualitative and quantitative validation on risk models, including machine learning models
- Assess model logic, assumptions and technical approaches, and evaluate model implementation and performance
- Perform data analysis and data quality check on large data sets through the use and/or development of algorithms.
- Manage validation process, including planning, executing project activities, monitoring milestones, and controlling quality of deliverables
- Prepare validation of reports and communicate to the management, auditors, and other related stakeholders
- Establish and review policies and procedural guidelines regularly
- Bachelor's degree or above in Financial Mathematics, Data Science, Statistics, Finance, Computer Science, Economics, or related disciplines.
- Minimum 3-4 years of experience in model-related activities, such as development implementation, application, or validation of varying models.
- Proficiency in Technical Tools, such as SQL and Python.
- Fluent in English, both verbally and written.
- Preferably has working experience in the Financial Services industry and model audit experience.
- Strong problem solving ability with passion for analytic excellence.
4 Benefit Pekerjaan
Kirim Lamaran
- Via URL :
Peluang diterima pada lowongan kerja Data Scientist masih terbuka untukmu! Baru 11 orang yang mengunjungi link lamaran diatas. Ayok cepat kirim lamarannya sebelum ditutup pada tanggal 30 September 2025!
