Overview
About the Role
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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.
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.
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.
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