Lead Data Scientist - Lending
GoTo Group · Jakarta
Sekilas tentang pekerjaan ini
GoTo Group mencari Lead Data Scientist - Lending untuk membangun, mengevaluasi, dan memantau model risiko kredit bagi produk pinjaman konsumen dan merchant GoPay di Indonesia. Posisi di Jakarta ini ditujukan bagi kandidat dengan pengalaman langsung 6–7 tahun dalam membangun model risiko.
Tugas utama
- Memimpin pemodelan end-to-end dan bertanggung jawab atas hasil bisnis.
- Berkolaborasi dengan tim bisnis dan produk untuk merancang serta menerapkan model.
- Merekrut, membimbing, dan mengembangkan tim data science.
- Mengawasi pengembangan model risiko kredit konsumen dan analisis statistik.
Kualifikasi utama
- Gelar sarjana atau lebih tinggi di bidang sains atau teknik terkait.
- Pengalaman langsung 6–7 tahun membangun, mengevaluasi, dan memantau model risiko.
- Memahami teknik dan algoritma machine learning dengan baik.
- Mahir menggunakan Python, SQL, dan UNIX Shell.
- Mampu mengomunikasikan konsep teknis serta menulis dokumentasi model dengan jelas.
Ringkasan ini dibuat dengan AI dari deskripsi di bawah. Yang berlaku adalah deskripsi lengkapnya di situs GoTo Group.
Deskripsi pekerjaan
About the Role
In this role, you will be an integral player within Data Science team based on Jakarta. You will take the wheel in building, evaluating, and monitoring credit risk models for a variety of consumer and merchant lending products GoPay offers in Indonesia. Your responsibilities will include enhancing our credit risk models by leveraging innovative and cutting-edge algorithms on GoTo data and third-party data vendors. Most importantly, your efforts will work to bring wider financial inclusion to more people in the region and beyond.
What You Will Do
- Own end-to-end modeling modeling initiatives and business outcomes / metrics.
- Work with the business/product team in defining, prototyping, and implementing data science models and other supporting DS initiatives.
- Recruit, mentor, and develop a high-performing data science team, fostering a culture of collaboration and innovation.
- Oversee the development of consumer credit risk models and statistical analyses to optimize decision-making and business outcomes.
What You Will Need
- Bachelor degree or above in science and engineering related majors such as statistics, mathematics, physics, computer science, etc.
- At least 6-7 years of hands-on experience in building, evaluating, and monitoring risk models.
- Excellent understanding of machine learning techniques and algorithms.
- Comfortable using Python, SQL, and UNIX Shell.
- Understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML.
- Self-driven and entrepreneurial with a strong sense of ownership, and thrive in a fast-paced environment.
- Good communication skills and ability to present technical concepts to a non-technical audience.
- Able to write model documentation clearly and concisely and support recommendations with research and data.