Senior Data Scientist

As a Data Scientist specializing in Credit Risk Modeling, you will play a pivotal role in developing and refining risk models for retail and SME financial products. Your expertise in data analysis, machine learning, and feature engineering will drive insights and innovation in credit risk management. This position involves working with massive datasets, evaluating third-party data sources, and continuously exploring new methodologies to enhance model performance. You’ll collaborate closely with cross-functional teams to deploy feature pipelines, analyze credit risk trends, and develop impactful data-driven solutions.

Job Responsibilities:

• Develop risk models for retail and SME finance products, including consumer lending, multi-finance, credit cards, and SME financing.
• Perform feature engineering and analysis on large-scale datasets such as credit reports and e-commerce data, and deploy feature pipelines.
• Evaluate third-party data sources for their applicability and effectiveness in credit modeling.
• Research advanced methodologies and data mining techniques to enhance model performance.
• Continuously explore and unlock the potential value of data for credit modeling and data product development.

Job Requirements:

• 3-6 years of relevant experience in risk model development with a solid understanding of credit risk management.
• Proficiency in machine learning models (e.g., boosting trees, regression models) and strong coding skills in Python and SQL.
• Hands-on experience in data analysis and feature engineering.
• Fluency in English with excellent communication skills.
• A collaborative mindset with good team spirit.