Model Validation

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Risk Management

Model Validation

Date: 18 Aug 2026

Location:
Bangkok, Thailand

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Company: Kiatnakin Phatra Bank Public Company Limited

Job Summary

Role and Responsibilities / หน้าที่ความรับผิดชอบ

Perform model validation activities of all models deemed in-scope by the model validation guideline. Following guidelines based on Model risk management principles, to include an assessment of model usage, documentation, model design, conceptual soundness, data integrity, model verification, and the analysis of outcomes

Perform pre-approval validation for a wide range of model types according to development/redevelopment plan

Evaluate model performance monitoring reports and performing on-going monitoring and periodic validation on the approved model

Prepare detailed reports describing the mathematical analytics of the model, validation techniques employed, test results obtained, and any model issues and limitations noted

Prepare Management summaries highlighting the outcome of the validation process for each model and outlining recommendations for approval or further improvements

Present work through model validation reports, as well as through presentations to model owners and senior management

Support Implementation testing in Complex systems such as Treasury, Credit loan acquisition, Fraud application

Research advancements in quantitative techniques, model development methodologies, model testing approaches, and related regulatory requirements

Work effectively as a team member with other quantitative analysts at the company, as well as with external consultants

Stay up-to-date in the knowledge of credit risk management model methodologies, market risk management model methodologies, liquidity risk management model methodologies, predictive modeling, and statistical analysis

Qualifications / คุณสมบัติ

High caliber Bachelor's degree or Master's degree in finance, economics, statistics, financial engineering or related field

Strong quantitative skills with excellent interpersonal skills

Sound knowledge of financial analysis techniques and methodologies, data mining, financial products and statistical analysis

Computer literacy and proficiency in common desktop business applications

Proficient with statistical analysis and modeling tools, such as SAS, Python, VBA, VB.NET is a plus;

Must possess good judgment, logic, ability to multi-task and strong personality

Must be able to perform well under pressure

Experience validating/modeling IFRS9 Impairment models, or Overnight index swaps and Exotic derivatives pricing/valuation models preferred

Specific knowledge and skill / ความรู้เฉพาะตำแหน่ง