Data Analyst, Credit Risk Management Department Full Time

Department / Branch: Credit Risk Management Department

Reports To: Head and Senior Manager of Credit Risk Management Department

Employment Type: Full-Time Contract/ Permanent

Location: Richmond Hill Office

Responsibilities

1. Model Development and Optimization

• Design, develop, and optimize credit rating models to solve business problems.
• Experiment with algorithms, architectures, and frameworks to improve model performance.
• Conduct regular validation and tuning of models for accuracy and efficiency.

2. Data Analysis

• Work with large datasets, ensuring quality, consistency, and relevance for training models.
• Identify patterns and insights to refine model inputs and features.

3. Model Evaluation and Testing

• Implement evaluation metrics and validation techniques to ensure model reliability.
• Perform testing to compare different models and configurations.

4. Monitoring and Reporting

• Deploy models to production environments and monitor their real-time performance.
• Troubleshoot and resolve issues to maintain model robustness over time.
• Conduct model performance monitoring and reporting.

5. Collaboration and Communication

• Collaborate with data stakeholders to align model objectives with business goals.
• Communicate findings, methodologies, and results to technical and non-technical audiences .or regulator.

6. Other works assigned by Head and Senior Manager of Credit Risk Management Department.

Qualifications:

• Bachelor degree in Computer Science, Statistics, Data Science, Applied Mathematics, Machine Learning, Financial Engineering or related fields.
• At least 3 years of experience in financial modelling, preferably within banking or financial services sector.
• Strong knowledge in model development, validation, evaluation and optimization.
• Proficient in Python, R or similar programming languages.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities.
• Excellent verbal and written communication skills in English with work proficiency.
• Fluency in Chinese is an asset.

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