Lead Specialist, Risk Modelling & Data Science
GXBank
Date: 2 weeks ago
City: Petaling Jaya
Contract type: Full time
Get To Know Our GX Bank Team
GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved 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.
Get To Know The Role
GX Bank Berhad - the Grab-led Digital Bank - is the FIRST digital bank in Malaysia, approved by BNM to commence operations. We aim to leverage technology and innovation to serve the financial needs of the unserved and underserved 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.
Get To Know The Role
- To develop and implement risk modelling framework and portfolio analytics tools to manage MSME credit exposures within Digibank
- Lead, mentor, and manage a small team of risk data scientists
- Develop MSME/ SME risk scorecards and models for non-retail portfolios in accordance with Basel requirements using traditional and AI/ ML modelling approach
- Design, develop, and maintain interactive dashboards to provide real-time insights for the management team
- Calibrate risk parameters and optimise 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 IFRS9 requirements
- Synchronize with group-wide frameworks, processes (including modeling), tools and reporting which support the desired outcomes for risk modeling and capital optimization
- Passionate in Data which includes ETL, analyse, and interpret data patterns within a complex data environment
- Well versed in credit modeling and/ or data science techniques (AI/ ML models) which includes hands-on model development and implementation
- Highly proficient in coding (Python/ SQL etc); experienced in AWS Cloud technology would be added advantage
- At least 8 years of experience in data science/ risk management/ business analytics/ data engineer
- 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 added advantage
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