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Credit Risk Model Development @ EXL

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 Credit Risk Model Development

Job Description

Role & responsibilities :

  • Credit Risk Analyst will play a critical role in developing, executing, and refining credit risk stress testing models and frameworks to ensure that the organization is well-positioned to manage and mitigate credit risk under various economic and financial scenarios.
  • Hands on Model Development experience
  • Focus should be more on Regulatory model development and NON regulatory model development + SAS
  • End to end model development experience
  • Credit Risk Stress Testing: Develop and execute stress testing frameworks to assess credit portfolio vulnerabilities under adverse scenarios. This includes scenario design, data collection, model execution, and result interpretation.
  • Model Development: Collaborate with risk modeling teams to enhance stress testing models, including probability of default (PD), loss given default (LGD), and exposure at default (EAD) models.
  • Data Analysis & Reporting: Analyze large datasets to identify trends, risks, and performance gaps.
  • Scenario Analysis: Create customized stress scenarios for specific market and credit risk factors such as changes in interest rates, unemployment, or housing market conditions.
  • Documentation & Validation: Maintain thorough documentation of stress testing methodologies and validation efforts for both internal and regulatory audits
  • Regulatory Knowledge:
    • Familiarity with global regulatory requirements (e.g., Basel III, IFRS 9, HKMA, MAS, CCAR, CECL ) related to credit risk stress testing.

Preferred candidate profile

    • Proficiency in statistical and data analysis software (e.g., SAS, SQL).
    • Strong knowledge of credit risk modeling, including PD, LGD, and EAD frameworks.
    • Experience with SQL and other data querying tools is a plus.
    • 1-4 years of experience in credit risk management, stress testing, or financial modeling, preferably in the banking or financial services sector.
    • Hands-on experience with regulatory stress testing frameworks (CCAR, DFAST, CECL) is highly desirable.
    • Candidates with experience on Credit Cards analytics or Any other lending strategy experience will also work

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Analytics - Other
Role: Data Science & Analytics - Other
Employement Type: Full time

Contact Details:

Company: EXL
Location(s): Pune

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Keyskills:   SAS Credit Risk Modelling Model Development Python Model Validation credit cards analytics Risk Modeling Ccar Fraud Analytics SQL Basel Risk Analytics Credit Risk Fraud Risk Assessment IFRS

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₹ 20-35 Lacs P.A

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EXL

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