Who We Are
PT Kredit Biro Indonesia Jaya (Credit Bureau Indonesia, “CBI”) as one of the private credit bureaus in Indonesia has been established since 2014 and obtained an operational license from Otoritas Jasa Keuangan (OJK) as
Lembaga Pengelola Informasi Perkreditan (LPIP) in 2015.
In November 2021, after obtaining approval from OJK, CBI received additional capital from shareholders and appointed a new management team, which aims to provide new and leading-edge services and products. This new identity will also strengthen CBI's position as the "best-in-class, modern and innovative" credit bureau in Indonesia.
CBI is a trailblazer in the credit bureau industry, dedicated to fostering a culture of excellence and innovation. We believe in the power of a talented and diverse team to bring cutting-edge solutions to our clients and contribute to the overall success of the financial landscape in Indonesia.
Why Join Us
- Innovative Environment: Continuously investing in cutting-edge technologies, including the powerful realm of artificial intelligence, your role becomes a pivotal part of our journey into the dynamic and evolving landscape of financial services. Being part of our innovative environment is your gateway to an exciting and forward-thinking career
- Impactful Work: We offer more than just a job; we provide an opportunity to play a crucial role in shaping the financial future of individuals and businesses across the nation. As a licensed credit bureau, our commitment to accuracy, reliability, and timeliness sets the stage for impactful work
- Professional Development: We are committed to the growth of our employees. Join a team that encourages continuous learning and offers opportunities for career advancement.
- Collaborative Culture: Work in a collaborative and inclusive environment where your ideas are valued, and teamwork is key to achieving our goals.
Role Overview
A Data Scientist builds and optimizes data-driven solutions by developing machine learning models and maintaining end-to-end data science platforms, including feature engineering, model training, deployment, and monitoring. The role also involves improving technical frameworks, conducting data analysis (especially for credit scoring), and researching methodologies to enhance model performance.
Job Responsibilities
- Develop and maintain the fundamental platforms for the data science team, including feature engineering, model training, and model monitoring.
- Upgrade and refactor the basic technical frameworks within the team, covering model serving, code management, and other related infrastructure.
- Assist other data scientists in resolving technical issues related to model deployment and decommissioning.
- Research model methodology and data mining techniques to improve model performance
- Conduct data analysis and credit modeling tasks, ensuring the performance of modeling results.
Job Requirements
- Bachelor’s degree or above in Computer Science, Data Science, Statistics, or a related field; familiar with the Linux development environment, with strong engineering development capabilities; proficient in Python engineering development and database design.
- Proven experience in machine learning platform development; familiar with core modules including sample management, feature management/processing/evaluation, model training and evaluation, and model deployment.
- Solid understanding of common machine learning and deep learning algorithms, such as logistic regression, decision trees, random forests, and neural networks.
- Hands-on experience in financial credit scoring modeling is mandatory.
- Good English communication skills (both written and verbal), capable of collaborating effectively in a cross-functional team.
- Experience in AI Agent application and implementation is a plus
