Model Validation Specialist

Seven Seven Global Services, Inc.; Metro Manila; On-site; PHP 600,000 - 1,200,000; Full time

Job summary

Seven Seven Global Services, Inc. is seeking a Model Validation Specialist to support CROU in reviewing and monitoring various banking models in accordance with MRMM, MMG, MCG and BSP guidelines.

The role focuses on Low Risk Tier reviews, model changes, and regulatory implementation across multiple model types. The candidate will assess methodology, data sources, limitations, and documentation, while independently reviewing monitoring results and preparing assessment reports.

Qualifications

• Bachelor’s degree in a quantitative discipline required.
• At least five years in Model Risk Management, Validation, Monitoring or related fields preferred.
• Experience with banking models (IFRS 9/ECL) preferred.

Responsibilities

• Perform independent reviews of Low Risk Tier Risk and Non-AI/ML models prior to implementation.
• Review Model Enhancements including redevelopment, recalibration, retraining, and other methodology changes.
• Review and validate Model Application Changes affecting model use or lifecycle status.
• Assess model methodology, data sources, limitations, and documentation.
• Independently review model monitoring results submitted by Model Owners.
• Assess performance metrics, monitoring thresholds, and back-testing results.
• Prepare model review reports and monitoring documentation.
• Support implementation of MMG and BSP remediation activities.
• Assist in model inventory updates, validation tracking, and regulatory reporting.

Skills

SQL

Python

R

SAS

Quantitative Analytics

Statistical Methods

Education

Bachelor's degree in Statistics/Math/Economics/Data Science/Engineering/Finance

Tools

SQL

Python

R

SAS

Job description

Work Location: Ortigas Center, Pasig City

Work schedule/set up: Day shift and full onsite

Engagement type: Open to full time & service contract

About the role

The Model Validation Specialist supports CROU in performing independent model review, model monitoring review, effective challenge, issue tracking, and model risk oversight activities in accordance with the Model Risk Management Framework (MRMF), Model Monitoring Guidelines (MMG), Model Change Guidelines (MCG), BSP regulatory expectations, and related model risk management requirements. The role primarily supports Low Risk Tier model reviews, model change reviews, model monitoring assessments, and regulatory implementation initiatives across various model types.

Key responsibilities

• Perform independent reviews of Low Risk Tier Risk and Non-AI/ML models prior to implementation

• Review Model Enhancements, including redevelopment, recalibration, retraining, and other methodology changes

• Review and validate Model Application Changes, including model use expansion, benchmark changes, threshold realignment, actuals updates, retirement, and other changes affecting model use or lifecycle status

• Assess model methodology, assumptions, data sources, limitations, documentation, implementation evidence, and intended use

• Independently review model monitoring results submitted by Model Owners

• Assess model performance metrics, monitoring thresholds, stability indicators, back-testing results, overrides, and model limitations

• Evaluate performance deterioration, threshold breaches, emerging risks, and continued model fitness for purpose

• Prepare model review reports, assessment memoranda, monitoring assessment reports, and effective challenge documentation

• Support implementation of the Model Monitoring Guidelines (MMG) and BSP AREF remediation activities

• Assist in model inventory updates, validation tracking, monitoring dashboards, and regulatory reporting

About you

• Bachelor's degree in Statistics, Mathematics, Economics, Data Science, Engineering, Finance, Risk Management, Computer Science, or related quantitative discipline

• At least five (5) years of experience in Model Risk Management, Model Validation, Model Monitoring, Risk Analytics, Quantitative Analytics, or related functions

• Experience with banking models, IFRS 9/ECL, risk analytics, model monitoring, or model risk management is preferred

• Model Risk Management competency

• Model Validation and Review competency

• Model Monitoring competency

• Effective Challenge competency

• Statistical and Quantitative Analysis competency

• Proficiency in SQL, Python, R, SAS, or similar tools

• Technical Report Writing competency