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Lead Assistant Manager

3 - 5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

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)

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EXL
EXL

Business Process Management / Analytics

New York

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