Senior Data Scientist (GrabFin)
Core
Build and deploy production-grade machine learning systems for FS Lending products serving drivers, passengers, and merchants within the Grab ecosystem.
Role type
Senior IC machine learning engineer (financial services)
Builds
Scalable ML models, data pipelines, and feature stores for lending outcomes and customer behavior prediction.
Domain
FinTech / Credit Risk / Southeast Asia
Deliverable
production ML models
Required skills
Python programming, distributed data processing (Spark, SQL), ML/DL libraries (scikit-learn, XGBoost, TensorFlow, Pytorch), feature engineering, model evaluation metrics, multi-agent systems (LangGraph, CrewAI, ADK)
Preferred skills
Experience translating business requirements into ML solutions, presenting model findings to senior leadership
Technologies
Python, Spark, cloud-native tools, LangGraph, CrewAI, ADK, scikit-learn, XGBoost, TensorFlow, Pytorch
Responsibilities
Build and deploy scalable ML models to predict lending outcomes and customer behavior; Develop data pipelines and feature stores to support model training and inference; Engineer predictive features from internal and external data assets; Validate model performance on real-world datasets and lead model refresh cycles; Present model findings to senior leadership regarding risk trade-offs and business impact; Translate model insights into strategic recommendations for policy changes, pricing adjustments, or customer targeting strategies.
Seniority
Senior, hands-on IC
