Lead Assistant Manager
Lead Assistant Manager
Posted on :
07-07-2025
Employer Active
1 Vacancy
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Job Description
About the Role
We are seeking a technically proficient Risk Modeling Analyst to develop and implement advanced risk models for our banking practice. The ideal candidate will combine traditional risk modeling expertise with machine learning to enhance our analytical capabilities.
Key Responsibilities
- Develop and validate risk models (application behavioral and fraud scorecards) using both traditional and ML approaches
- Implement machine learning techniques to analyze banking data and improve risk assessment
- Collaborate with cross-functional teams to operationalize analytical solutions
- Design and maintain Databricks workflows for efficient model development and deployment
- Ensure all models meet regulatory compliance standards
- Communicate technical findings to business stakeholders through clear reporting
Technical Requirements
Core Competencies:
- 3-5 years hands-on experience in banking risk analytics or financial modeling
- Advanced proficiency in Python (including ML libraries: Scikit-learn XGBoost) and SQL
- Practical experience applying machine learning to risk modeling challenges
- Strong understanding of risk scorecard development and validation
- Experience working with Databricks for data processing and analytics
Additional Valued Skills
- Familiarity with cloud platforms (AWS Azure)
- Knowledge of regulatory frameworks (Basel III/IV IFRS 9)
- Experience with visualization tools (Tableau Power BI)
Required Experience:
Manager
Employment Type
Full-Time
Key Skills
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