Data Analyst (Junior to Mid Level)

Job Duties
-Utilize SQL to extract, clean, and process large datasets from various databases, ensuring data accuracy for risk analysis and reporting.
-Support the development and iteration of credit risk models and anti-fraud rules using machine learning algorithms such as XGBoost, GBDT, and Logistic Regression.
-Analyze financial and transactional data to identify potential risk trends, abnormal fluctuations, and fraud patterns to support decision-making.
-Perform feature engineering and data exploration to identify key risk indicators that improve model predictive performance.
-Monitor the performance of risk models and automated rules in production, assisting in troubleshooting and system stability checks.
-Collaborate with cross-functional teams, including Data Engineers and Product Managers, to translate data findings into actionable risk strategies.
Requirements
-Bachelor's Degree or higher in a quantitative field such as Statistics, Mathematics, Computer ...