Risk Modelling Specialist

2 weeks ago

Subang Jaya, Selangor, Malaysia GXbank Full time
About GX Bank

GX Bank Berhad is a digital bank in Malaysia, approved by the Bank Negara Malaysia to commence operations. We aim to leverage technology and innovation to serve the financial needs of individuals and micro and small medium enterprises.

We are driven by our shared purpose and passion to bring positive transformation to the banking industry, starting with solutions that address the financial struggles of Malaysians and businesses.

About the Role

This role is responsible for developing and implementing risk modelling frameworks and portfolio analytics tools to manage MSME credit exposures within our digital bank.

Key Responsibilities
  • Develop MSME/SME risk scorecards and models for non-retail portfolios in accordance with Basel requirements using traditional and AI/ML modelling approaches.
  • Design, develop, and maintain interactive dashboards to provide real-time insights for the management team.
  • Calibrate risk parameters and optimize scorecard cut-offs to achieve sound risk management.
  • Conduct scorecard annual review and portfolio stress testing.
  • Develop and maintain a comprehensive risk database and perform in-depth risk analysis.
  • Support development and maintenance of analytics and business intelligence tools for risk management purposes.
  • Support development of expected credit loss models to address IFRS 9 requirements.
  • Synchronize with group-wide frameworks, processes, tools, and reporting which support the desired outcomes for risk modelling and capital optimization.
Requirements
  • Passionate about data, including ETL, analysis, and interpretation of data patterns within a complex data environment.
  • Well-versed in credit modelling and/or data science techniques (AI/ML models), including hands-on model development and implementation.
  • Highly proficient in coding (Python/SQL, etc.); experienced in AWS Cloud technology would be an added advantage.
  • At least 3 years of experience in data science/risk management/business analytics/data engineering.
  • Self-motivated, passionate, and analytical.
  • Degree or Master's degree in Data Science, Banking/Finance/Mathematics, Statistics, or Engineering.
  • CFA/FRM/BRM/Chartered Banker would be an added advantage.

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