
Data Driven Risk Management Expert
7 days ago
Financial Risk Specialist Role:
">The ideal candidate will play a pivotal role in leveraging data analytics to assess, identify and mitigate risks.
This role is critical in developing and implementing risk models and early warning signals to safeguard portfolio health and enhance decision-making.
Key Responsibilities:
- Conduct comprehensive credit risk assessments and implement mitigation strategies.
- Develop and deploy risk models tailored to organizational needs.
- Implement and monitor Early Warning Signals (EWS) for proactive risk management.
- Owning and managing model validation, portfolio risk metrics and EWS performance metrics.
Requirements:
- Graduation or Master's degree with Statistics as one of the subjects.
- 3-5 years of hands-on experience in data analysis and risk modeling.
- Exposure to dimensionality reduction regularization techniques and feature selection.
Expertise Required:
- Proficiency in SQL Python/R for data analysis and model development.
- Expertise in data manipulation statistics.
- In-depth knowledge of credit risk concepts and frameworks.
Note: A strong background in risk management financial services or analytics-driven functions is preferred.
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