Deskripsi Perusahaan

Finansial Technology, P2P Lending

Deskripsi Pekerjaan

- Analyze and maintain/monitor data trends from various aspects, from operational to credit performance, to generate intermediate insights and help risk team track daily and short term performance. - Develop new and new feature risk models by leveraging various scoring models, focusing on minimizing credit default/loss rate and underperformance. - Carry out quantitative evaluation of new risk policy/product/feature (including suitability, and business feasibility) to ensure zero underwriting errors. - Coordinate with other projects and provide regular updates to senior management. - Assist in formulating short term and near term system/projects using tools to quickly prototype, validate, and roll out risk initiatives and policy significant changes. - Troubleshoot data processing issues, ensure data quality and suitability with relevant teams, and communicate clearly. - Create and maintain a catalog of daily/weekly/monthly/ad-hoc usable data solutions to ensure risk management team has access to credit decisioning. - Conduct daily/weekly/ad-hoc (e.g., business, IT, data science) to implement and assess the impact of risk strategies and support management for advanced credit scoring use cases.

Syarat Pekerjaan

- Bachelors degree in Computer Science, Information Technology, Statistics, Mathematics, or related fields. - Experience and min 1-3 years of experience in Data Analytics or MIS. - Excellent SQL and experience using programming language with Data Analytics skill (e.g. Python).

  • Tingkat Pendidikan

    :

    S1

  • Jenis Kelamin

    :

    Pria/Wanita

  • Usia Maksimal

    :

    - Tahun

  • Status Kerja

    :

  • Full Time

Ringkasan Lowongan