Risk Data Scientist - Credit

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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 Engineer...