The successful candidate will be responsible for providing insights and recommendations to help us manage risks effectively. The ideal candidate will have strong analytical skills, knowledge of statistical methods, and experience in data analysis in the risk domain.
- Collect, analyze, and interpret data to identify trends, patterns, and relationships in the data related to credit risk, operational risk, and market risk.
- Collaborate with the Risk Management team to identify, develop, and implement risk management strategies.
- Develop predictive models to identify high-risk areas and potential losses.
- Monitor key risk indicators and provide timely reports and insights to senior management.
- Conduct regular risk assessments and identify areas of improvement.
- Support the implementation of risk policies and procedures.
- Collaborate with cross-functional teams to integrate risk management into business processes.
- Stay up-to-date with the latest industry trends, best practices, and technologies in the risk domain.
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- Proficiency in SQL & Python.
- Experience in building predictive models using machine learning algorithms.
- Strong analytical skills and ability to work with large datasets.
- Excellent communication and presentation skills.
- Ability to work independently and as part of a team.
- Knowledge of risk management frameworks, regulations, and compliance standards.