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Credit Risk Modeling Specialist

Credit Risk Modeling Specialist

Vietinbank Securities
Fresher
Not Disclosed
  • Posted 10 hours ago
  • Be among the first 10 applicants

Job Description

Job Description

  • Develop, review, and validate credit risk measurement models under the Internal Ratings-Based (IRB) approach, including Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD); implement credit risk-weighted asset (RWA) calculations under both the IRB and Standardized Approach (SA).
  • Develop, review, and validate credit risk models in accordance with IFRS 9, including PD, LGD, and EAD models, and implement Expected Credit Loss (ECL) estimation.
  • Develop, review, and validate credit risk models applied throughout the credit lifecycle, from customer targeting, credit assessment and approval to credit monitoring, debt collection, and recovery.
  • Implement credit risk models in business operations and risk management activities, with a particular focus on digital transformation initiatives.
  • Operate and maintain internal credit rating systems and credit risk modeling platforms; conduct use testing to ensure the effective application of credit risk models.

Job Requirements

Education

  • Bachelor's degree or higher, with a minimum Good academic classification (or equivalent), from a reputable domestic or international university.
  • Major in Financial Mathematics, Mathematical Economics, Finance and Banking, Risk Management, or related disciplines.

Experience

- Preference will be given to candidates with experience in commercial banks, financial institutions, or auditing firms, particularly in:

  • Development and operation of internal credit rating systems.
  • Development and implementation of credit risk measurement tools.
  • Credit risk management and analytics.

Skills and Competencies

Core Competencies:

  • Strong mathematical and statistical analysis skills, including statistical model development.
  • Proficiency in data processing, data management, and data structures.
  • Ability to present and visualize data analysis results effectively.

Additional Competencies:

  • Sound understanding of credit risks throughout the credit lifecycle and credit risk analysis methodologies.
  • Proficiency in database query languages and statistical analysis software.
  • Strong communication and collaboration skills, with the ability to work effectively with credit risk management, credit risk monitoring, and business units

More Info

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Key Skills

credit risk measurement models

database query languages

credit risk modeling platforms

internal credit rating systems

statistical analysis software

IFRS 9