Model Risk Validation Specialist

Bank of the Philippine Islands (BPI); Makati; On-site; PHP 600,000 - 900,000; Full time

Job summary

Bank of the Philippine Islands (BPI) is seeking a Model Validation Officer to execute and implement risk management activities, providing independent review of current and proposed risk models. The role supports the Model Validation Section Head and aligns with RMCom governance through CRO and board oversight.

The position requires a solid quantitative background, programming in SAS or VBA, and experience in predictive modelling related to credit or market risk.

Qualifications

• Basic quantitative background in statistics, econometrics and risk analytics.
• 1 year of school/research experience in predictive modelling and/or statistical studies (credit/market risk) preferred.
• Bachelor's degree in Economics, Finance, Mathematics, Statistics, Engineering or IT.
• Preferably with graduate units in MS Finance/Computational Finance/Financial Engineering, Mathematics or Statistics.

Responsibilities

• Identify sources of risk and potential model risk exposure.
• Perform independent model validation per established policies and procedures with CRO/RMCom alignment.
• Prepare independent validation reports and executive summaries for decision-making and remediation.
• Monitor validation findings and remediation progress to ensure timely closure.

Skills

Statistical concepts & econometrics

Education

Bachelor's Degree in Economics, Finance, Mathematics, Statistics, Engineering or Information Technology

Graduate units in MS Finance/Computational Finance/Financial Engineering/Mathematics/Statistics

Tools

SAS

VBA

Job description

Bank of the Philippine Islands (BPI) is seeking a Model Validation Officer to execute and implement risk management activities, providing independent review of current and proposed risk models. The role supports the Model Validation Section Head and aligns with RMCom governance through CRO and board oversight.

The position requires a solid quantitative background, programming in SAS or VBA, and experience in predictive modelling related to credit or market risk.