CreditBPO
Welcome to CreditBPO, a pioneer in the Philippine financial technology landscape committed to enhancing the efficiency, transparency, and reliability of financial decision-making. Our journey is fueled by a singular vision: to integrate cutting-edge technology with traditional financial services, thereby empowering banks, enterprises, and financial institutions to navigate the complexities of credit and procurement with unparalleled confidence.
11 - 50 employees
Lead Data Scientist - Machine Learning Engineer
Job not on LinkedIn
February 26
CreditBPO
Welcome to CreditBPO, a pioneer in the Philippine financial technology landscape committed to enhancing the efficiency, transparency, and reliability of financial decision-making. Our journey is fueled by a singular vision: to integrate cutting-edge technology with traditional financial services, thereby empowering banks, enterprises, and financial institutions to navigate the complexities of credit and procurement with unparalleled confidence.
11 - 50 employees
đź“‹ Description
• Act as a strategic academic consultant to develop and refine machine learning models for real-time credit scoring and risk assessment. • Design and prototype advanced ML algorithms tailored to both traditional financial and alternative datasets. • Develop proof-of-concept models and conduct rigorous model validation. • Collaborate with data engineers to support data ingestion and normalization processes. • Provide regular research updates and strategic recommendations based on the latest academic findings in AI/ML.
🎯 Requirements
• An advanced degree (PhD preferred) in Data Science, Computer Science, Statistics, or a related field. • Demonstrated research experience in machine learning, especially within fintech or financial services. • Strong publication record or contributions to notable research projects is a plus.
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