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Senior Risk Modeling Lead
3 semanas atrás
We are seeking a seasoned professional to lead our Risk Modeling efforts.
Key Qualifications- Expertise in statistical techniques, including Logistic Regression, Time series analysis, OLS, Probit models, and Survival techniques.
- Proficiency in machine learning algorithms such as Random Forest, SVM, and Neural Network.
- Strong analytical skills with proficiency in tools like SAS, R, Python, Matlab, Scala, and VBA.
- Experience with data science platforms and cloud-based analytics is a plus.
- Understanding of credit risk metrics and regulatory requirements.
- Conceptual knowledge of data and methodology used for credit risk models.
- Experience with a range of loan types, including commercial and industrial loans.
- Prior experience in banking and finance domains with strong knowledge of risk data analysis and development.
- Vendor experience and exposure to data analytics, machine learning, and AI skills are preferred.
- Knowledge of information management, security, and protection practices.
- Travel Requirements: Not Specified
- Equal Opportunity Employer
