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Credit Risk Modeling Specialist - SQL / ETL

Credit Risk Modeling Specialist - SQL / ETL

Om CareersDelhi, IN
17 days ago
Job type
  • Remote
Job description

Job Description : Credit Risk Modeling Specialist

Position Overview :

We are seeking an experienced Credit Risk Modeling Specialist with hands-on expertise in developing, validating, and maintaining credit risk models (PD, LGD, EAD) under IFRS9 and Basel III frameworks. The ideal candidate will have a strong background in SAS / SQL programming, risk data ETL pipelines, statistical modeling, and regulatory reporting. The role requires collaboration with cross-functional teams to ensure models meet both business and regulatory expectations.

Key Responsibilities :

  • Design, develop, and validate credit risk models including PD, LGD, and EAD for retail and wholesale portfolios.
  • Conduct model performance monitoring, back-testing, benchmarking, and scenario analysis to ensure accuracy and robustness.
  • Ensure regulatory compliance with IFRS9, Basel III, and other applicable standards in model development and validation.
  • Build, optimize, and maintain ETL pipelines to support risk data aggregation and model execution.
  • Perform delinquency, roll rate, vintage, and survival analysis to generate actionable insights.
  • Collaborate with credit risk, compliance, audit, and business teams to translate requirements into modeling solutions.
  • Develop data quality frameworks, audit trails, and governance mechanisms to ensure data integrity and transparency.
  • Prepare technical documentation and support internal / external audits with evidence of model governance.

Required Skills & Qualifications :

  • 5 to 10 years of experience in Credit Risk Modeling and Validation (PD, LGD, EAD).
  • Strong expertise in SAS (EG / DI), SQL, and risk data management.
  • Hands-on experience with IFRS9, Basel III, and ECL provisioning models.
  • Proficiency in statistical modeling techniques : logistic regression, linear regression, survival analysis, time series, machine learning methods (random forest, gradient boosting).
  • Experience with ETL pipeline development, data quality checks, and governance frameworks.
  • Good understanding of delinquency analysis, roll rate, and staging under IFRS9 (SICR triggers).
  • Experience in visualization tools (e.g., Tableau, Power BI) for portfolio monitoring and reporting.

    • Preferred Skills :

  • Exposure to Python / R for advanced analytics and automation.
  • Experience with cloud platforms (GCP, AWS, or Azure).
  • Prior experience in credit risk roles with banks, consulting firms, or analytics service providers.

    • Education : Bachelors or Masters degree in Statistics, Economics, Data Science, Computer Science, Finance, or related field.

    (ref : hirist.tech)

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