salmon-group - Data Science (Credit Risk)
Upload My Resume
Drop here or click to browse · PDF, DOCX, DOC, RTF, TXT
Requirements
• 2+ years of hands-on experience in data analytics or data science • Deep knowledge of statistics, probability, and machine learning algorithms • Proficiency in Python (pandas, scikit-learn) and SQL for data exploration and modeling • Experience working specifically with credit scoring models — building or validating models for application or behavioral risk • Hands-on experience with the full model lifecycle: from data analysis and feature design to deployment and post-production monitoring • Ability to translate modeling logic into implementation-ready specs • Prior work with credit products is a strong plus, especially in fintech • Experience assessing business impact of models (e.g. NPV, backtesting) is a plus • Exposure to cross-functional collaboration (e.g. with product or engineering teams) is a plus • Willingness to relocate to our Manila HQ is a strong advantage
Responsibilities
• Own the full modeling cycle — from exploring raw data to preparing production-ready specs • Use metrics like AUC, KS, bad rate, and stability index to validate model quality • Track how models perform after launch and know when it’s time to retrain or adapt • Evaluate value through NPV, backtesting, and real-world portfolio performance • Translate insights into decisions — you’ll help evolve our credit strategy, not just build models • Contribute ideas that change how we approve, price, and manage credit — our internal tools are flexible and data-driven • Work closely with product and data to align every model with real business goals • Step in beyond your scope when needed — we value ownership over rigid roles • Every task is evaluated through the lens of business value — no "models for the drawer" here
No credit card. Takes 10 seconds.