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Risk Management Model Validation - Assistant Manager

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Onsite

Risk Management Model Validation - Assistant Manager

QNB Türkiye

Risk Management Model Validation - Assistant Manager

Skills

SQL QueriesPythonData VisualizationMachine LearningRisk Management

1 month ago

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Important information


Contract type:

Permanent

Location:

İstanbul, Türkiye

Work mode:

Onsite

Published on:

21 September 2026

What they need


Are you a machine learning expert looking to apply your skills in a dynamic and impactful environment? QNB Bank is seeking a talented professional to jo in our Risk Management Model Validation Team.

Our position where we invite you to join us : Risk Management Model Validation - Assistant Manager

Role Overview

  • Conduct independent, rigorous validation of risk models including Scorecards,IRB, IFRS 9, VaR,IRRBB, and Stress Testing frameworks to ensure conceptual soundness, mathematical integrity, and operational reliability.

  • Translate complex quantitative findings into clear, executive-level insights that support strategic decision-making and risk governance.

  • Collaborate closely with model developers, risk teams, and business units to drive continuous improvement in modeling standards and validation practices.

  • Monitor evolving global regulatory requirements and academic advancements to ensure validation methodologies remain aligned with industry best practices.

  • Serve as a critical assurance function, ensuring models are fit for purpose and resilient under real-world financial conditions.

What We're Looking For

  • Minimum of 5 years of professional experience in quantitative risk management or model validation within a financial services environment.

  • Advanced degree in a highly quantitative discipline such as Mathematics, Physics, Engineering, or Quantitative Finance.

  • Strong proficiency in Python, or SQL; experience with automated reporting, data visualization, and model diagnostics is highly preferred.

  • Exceptional command of English, with the ability to communicate complex technical concepts clearly and effectively to both technical and non-technical stakeholders.

  • FRM (Financial Risk Manager) certification is strongly preferred.

  • Prior experience applying machine learning techniques in credit risk is considered a significant advantage.

If you are passionate about machine learning and want to make an impact in risk management, we'd love to hear from you!

Apply now and take your career to the next level with QNB Bank.

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