Quantitative Risk Specialist
3 days ago
The Quantitative Risk Specialist will be responsible for developing and implementing advanced risk models using machine learning techniques. This role requires a strong understanding of credit risk, data analysis, and modeling.
The incumbent will have the opportunity to manage established processes, develop new models, and improve existing analytical frameworks. The successful candidate will also be required to maintain and refine existing models to ensure they remain effective and accurate.
Responsibilities- Develop and implement advanced statistical and machine learning models for credit risk analysis.
- Analyze large datasets to identify trends and patterns, and provide insights to inform business decisions.
- Collaborate with stakeholders to design and implement new models, and improve existing ones.
- Maintain and refine existing models to ensure they remain effective and accurate.
Requirements
- 5-10 years of experience in telecommunications or credit risk.
- Advanced degree in Actuarial Science, Mathematics, Statistics, or Engineering.
- Strong programming skills and experience with data visualization tools.
- Excellent communication and collaboration skills.
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