Data Modeler/Model Validation Analyst

Analyst

Data Modeler/Model Validation Analyst

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  • Date posted
    June 1, 2026
  • Expiration date
    September 1, 2026
  • Application ends
    September 1, 2026

We are seeking a skilled Data Modeler / Model Validation Analyst to join the Risk Management team of a leading bank. The role focuses on Model Risk Management (MRM) activities, including evaluation, validation, and governance of models used in CECL, CCAR, and PPNR frameworks.

 

The ideal candidate will have strong expertise in credit risk modeling, regulatory frameworks, and quantitative validation techniques, along with hands-on experience in working with large financial datasets.

 

Key Responsibilities :

– Perform independent validation of models used in CECL, CCAR, and PPNR

– Evaluate model design, assumptions, methodology, and implementation

– Assess model performance, stability, and limitations

– Ensure compliance with internal Model Risk Management (MRM) policies and regulatory guidelines

– Conduct end-to-end model reviews including :

1. Conceptual soundness

2. Data quality and appropriateness

3. Model methodology and assumptions

4. Outcome analysis and benchmarking

– Prepare detailed validation reports with findings, limitations, and recommendations

– Document model development and validation processes in line with audit and regulatory requirements

– Work with large datasets to perform exploratory data analysis (EDA)

– Validate data pipelines, transformations, and feature engineering logic

– Support model development teams by providing feedback on data/model improvements

– Ensure models comply with regulatory expectations for :

1. CECL (Current Expected Credit Loss)

2. CCAR (Comprehensive Capital Analysis and Review)

3. PPNR (Pre-Provision Net Revenue)

– Stay updated with evolving regulatory guidelines and industry best practices

– Collaborate with model development teams, business stakeholders, and audit teams

– Communicate validation findings and risks to senior stakeholders

– Participate in model governance committees and review discussions

– Identify model risks and propose mitigation strategies

– Support model inventory management and lifecycle governance

– Ensure adherence to model validation timelines and audit requirements

 

Required Skills & Qualifications :

– Strong experience in CECL / CCAR / PPNR modeling or validation (mandatory)

– Solid understanding of Model Risk Management (MRM) frameworks

– Expertise in statistical and quantitative techniques (regression, time series, forecasting, etc.)

– SAS / Python / R / SQL

– Strong data analysis and data modeling skills

– Deep understanding of credit risk modeling, stress testing, and financial regulations

– Knowledge of banking products (loans, credit cards, mortgages, etc.)

– Familiarity with model lifecycle governance and validation standards

– Strong problem-solving and critical thinking ability

– Ability to challenge model assumptions and identify risks

– Attention to detail in reviewing complex models and datasets

– Experience working with global banks / financial institutions

– Exposure to SR 11-7 guidelines or equivalent model risk regulations

– Experience in model development + validation both

– Knowledge of IFRS 9 (Expected Credit Loss framework)

– Excellent communication and documentation skills

– Ability to work independently and manage multiple projects

– Strong stakeholder management and collaboration skills

Are you interested in this position?

 

Apply by clicking on the “Apply Now” button below!

 

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