Head Of Data Science & Credit Risk
Core
Lead strategy for ML-powered underwriting and credit risk decisioning across multiple fast-growing markets, owning the full lifecycle of risk models from development to monitoring.
Role type
Senior IC Head of Data Science & Credit Risk
Builds
Production ML models for credit decisioning, fraud detection, risk segmentation, and real-time scoring
Domain
Fintech / Consumer Credit Risk
Deliverable
production ML models
Required skills
Machine learning, credit risk modeling, statistical analysis, SQL, cloud data platforms, MLOps, team leadership, A/B testing, regulatory compliance
Preferred skills
Southeast Asian credit markets expertise, IFRS 9 knowledge, GCP BigQuery, MLflow
Technologies
SQL, Cloud platforms, MLflow
Responsibilities
Lead design and deployment of ML models for credit decisioning; Develop underwriting algorithms using alternative data; Build real-time scoring models; Ensure model governance and fairness; Establish MLOps practices; Develop credit risk frameworks and policies; Monitor portfolio health and risk metrics; Lead stress testing and provisioning; Drive market expansion with localized risk models; Build and mentor data science teams; Present insights to executive leadership.
Seniority
Senior, hands-on IC with leadership responsibilities
