Model Risk Management & Validation

PT Bank Neo Commerce Tbk; Jakarta Pusat; On-site; IDR 300,000,000 - 540,000,000; Full time

Job summary

PT Bank Neo Commerce Tbk is seeking an experienced risk analytics professional to independently validate credit risk models across applications, behavior, fraud and collections. The role emphasizes back-testing, stability, calibration and ongoing performance monitoring.

The ideal candidate has 6-10+ years in risk analytics or data science, strong SQL and Python/R skills, and experience with digital lending or fintech.

Qualifications

• 6-10+ years in Risk Analytics, Model Validation, Credit Risk Analytics or Data Science.
• Strong understanding of statistical modelling and validation techniques.
• Proficient in SQL; Python/R preferred.
• Experience in digital lending, consumer finance, fintech or digital banking.
• Strong analytical and communication skills.
• Experience with alternative data is preferred.

Responsibilities

• Independently validate all credit risk models (application, behavioral, fraud, collection, etc.).
• Design and execute model validation methodology including back-testing, stability, calibration and performance monitoring.
• Continuously monitor model performance and recommend recalibration or redevelopment.
• Explore, assess and onboard new internal and external alternative data sources.
• Conduct portfolio analytics to identify model drift and emerging risks.
• Develop model governance documentation and ensure regulatory compliance.
• Partner with Modelling, Business, Data and IT teams to improve model effectiveness.

Skills

Statistical modelling

Model validation

SQL

Python/R

Analytical thinking

Communication skills

Alternative data

Job description

• Independently validate all credit risk models (application, behavioral, fraud, collection, etc.).
• Design and execute model validation methodology including back-testing, stability, calibration and performance monitoring.
• Continuously monitor model performance and recommend recalibration or redevelopment.
• Explore, assess and onboard new internal and external alternative data sources.
• Conduct portfolio analytics to identify model drift and emerging risks.
• Develop model governance documentation and ensure regulatory compliance.
• Partner with Modelling, Business, Data and IT teams to improve model effectiveness.

Requirements:

• 6-10+ years in Risk Analytics, Model Validation, Credit Risk Analytics or Data Science.
• Strong understanding of statistical modelling and validation techniques.
• Proficient in SQL; Python/R preferred.
• Experience in digital lending, consumer finance, fintech or digital banking.
• Strong analytical and communication skills.
• Experience with alternative data is preferred.