Impactful Risk Modeling Validation – Assistant Manager

QNB Türkiye; Fatih; On-site; TRY 400,000 - 650,000; Full time

Job summary

QNB Türkiye is seeking a Risk Management Model Validation - Assistant Manager to independently validate risk models including Scorecards, IRB and IFRS 9. You will translate complex quantitative findings for executive leaders and drive improvements across validation practices.

The role requires at least 5 years in quantitative risk management, an advanced quantitative degree, and strong Python or SQL skills with a preference for FRM certification. English communication must be excellent.

Qualifications

• Minimum 5 years of professional experience in quantitative risk management or model validation within finance.
• Advanced degree in a highly quantitative discipline.
• Strong proficiency in Python or SQL; experience with automated reporting and data visualization is preferred.
• Excellent English communication to convey complex concepts to technical and non-technical stakeholders.
• FRM certification is strongly preferred.
• Experience applying machine learning in credit risk is advantageous.

Responsibilities

• Conduct independent validation of risk models (Scorecards, IRB, IFRS 9, VaR, IRRBB, Stress Testing).
• Translate quantitative findings into executive-level insights for risk governance.
• Collaborate with model developers, risk teams, and business units to improve modeling standards.
• Monitor regulatory developments and academic advancements to keep validation practices current.
• Serve as an assurance function to ensure models are fit for purpose and resilient.

Skills

Python

SQL

English communication

Data visualization

Education

Advanced degree in Mathematics/Physics/Engineering/Quantitative Finance

Tools

Automated reporting

Model diagnostics

Job description

QNB Türkiye is seeking a Risk Management Model Validation - Assistant Manager to independently validate risk models including Scorecards, IRB and IFRS 9. You will translate complex quantitative findings for executive leaders and drive improvements across validation practices.

The role requires at least 5 years in quantitative risk management, an advanced quantitative degree, and strong Python or SQL skills with a preference for FRM certification. English communication must be excellent.