Risk Data Scientist - Credit

Job Description Build end-to-end AI models (statistical, machine learning, deep learning, LLM) to support key risk processes across retail and SME lending, including fraud detection, risk assessment, underwriting, and product/limit optimization. Perform data mining and feature engineering using large-scale transactional, behavioral, and financial data, ensuring high-quality datasets for modeling. Manage the full model lifecycle: development, deployment, production support, and performance monitoring. Analyze model performance and extract data insights to guide decision-making and strategy. Explore advanced modeling techniques (eg, sequential models, graph learning, uplift modeling, causal inference) to solve complex business challenges and improve profitability and risk control. Collaborate closely with Strategy, Business, and Engineering teams to translate business problems into modeling solutions and drive implementation.
Requirements Bachelor's degree or above in Computer Science...