Manager

Job Title:

Location:

Job Summary:

IRB (Internal Ratings-Based) modeling

You will work closely with risk, data, compliance, and business teams to ensure model robustness, regulatory alignment, and business relevance.

Key Responsibilities:

Model Development & Maintenance

• Design and build

  credit risk models

  for PD, LGD, and EAD estimation under the

  IRB framework

  (Basel II/III/IV).
• Develop and implement

  credit scorecards

  (application, behavior, and collections) using statistical techniques like

  logistic regression

  ,

  decision trees

  , and

  machine learning

  .
• Lead

  model performance monitoring

  , backtesting, and recalibration initiatives.
• Translate regulatory guidelines into technical specifications and modeling requirements.
  

Data & Analytics

• Conduct

  data extraction, cleaning, and preprocessing

  using tools like

  SQL, Python

• Perform

  exploratory data analysis (EDA)

  , feature engineering, and variable selection.
• Handle

  large-scale, imbalanced, and skewed datasets

  using best practices in credit modeling.

Documentation & Regulatory Support

• Prepare detailed model documentation, including

  model development reports (MDRs)

  ,

  validation reports

  , and

  regulatory submission artifacts

  .
• Support internal and external

  model validation

  , audits, and regulatory reviews (e.g., by RBI, ECB, PRA).

Collaboration & Communication

• Work cross-functionally with

  risk, compliance, product, and IT teams

  to deploy models into production.
• Communicate findings and technical insights to

  non-technical stakeholders

  clearly and effectively.
• Provide thought leadership on

  model governance

  ,

  regulatory changes

  , and

  emerging best practices

  .

Required Skills & Experience:

• 38 years of experience in

  credit risk modeling

  , particularly within

  retail, SME, or wholesale portfolios

  .
• Proven hands-on experience in

  IRB model development

  (PD/LGD/EAD) aligned with

  Basel II/III

  regulations.
• Strong experience developing

  credit scorecards

  for lending or collections.
• Proficient in

  Python

  with sound knowledge of

  SQL

  for data extraction and analysis.
• Solid understanding of

  statistical techniques

  ,

  model validation

  , and

  model monitoring

  .
• Familiarity with

  regulatory requirements

  and

  model risk management frameworks

• Strong problem-solving, analytical thinking, and communication skills.