Risk Data Analyst

To manage and analyze data to identify, assess, and mitigate potential risks, while ensuring data integrity and supporting informed decision- making through advanced risk modeling and reporting.
Data Processing & Management
• Classify and standardize data to meet analysis requirements.
• Collect, clean, and organize data from various sources to ensure accuracy, consistency, and data integrity.
• Manage data access rights and ensure data security according to company policies.
• Establish and maintain databases and data storage systems to serve risk analysis needs.
Data Analysis and Modeling:
• Develop, implement, and monitor risk analysis models, including predictive models for risk, operational risk indicators, and measures for financial and insurance risk control.
• Optimize models based on real- world results and operational feedback.
• Perform data analyses related to operational, financial, and insurance risk management to identify and assess potential risks.
Reporting and Decision Support:
• Support strategic decision- making by providing data- driven insights.
• Create and present data analysis reports, highlighting trends and potential operational, financial, and insurance risks to leadership.

• Experience in statistical and predictive modeling, especially in financial & insurance sector is a plus.
• Bachelor’s degree or higher in Financial, Banking, Insurance, Mathematics, Statistics, Data Science or related fields
• Proficient in data analysis tools such as Python, R, SQL and data management software
• Strong analytical thinking, problem- solving, and communication skills.
• 3- 5 years of experience in data analysis or risk management

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Cập nhật gần nhất lúc: 2025-01-15 02:50:02