Career
Model Risk Management Specialist
Risk Management
|
Permanent
Risk Management
Permanent
About Us
Do you want to be part of Thailand banking transformation? Data is the core of the new financial services era, and we are open for the opportunity to be part to drive this change at the core.
SCB DATAx is a new venture of the Siam Commercial Bank (SCB) holdings, a leading financial services and digital services holdings in Thailand and ASEAN.
As part of the transformation of SCB into a group of product and technology companies, under the SCBx brand, SCB DATAx is the technology company to centralize data and provides AI and data science services and products to the group.
With a leading-edge cloud native data & AI platform, our vision is to support the group to providing everyone in our region with the opportunity to prosper.
We work on forward-thinking challenges of centralizing, analyzing and sharing information. We collaborate with companies and experts in many different domains, embrace diversity and all that while having a good laugh and joy in work.
Discover job openings on our career page. To apply, email with the role's title as the subject, attach your CV, and specify your contact information. We're eager to learn more about you.
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Benefits
Other
Preferred Qualifications
Qualifications
Bachelor's degree in Mathematics, Statistics, Finance, or Computer Science or any relevant fields.
5+ years of experience in data analytics, AI/ML model development, or model risk management.
Strong understanding of AI/ML model development methodologies, statistical modeling techniques, and data analytics tools.
Knowledge of model risk management principles, methodologies, and regulatory requirements specific to AI/ML models.
Knowledge of programming languages commonly used in AI/ML, such as Python or R or SAS.
Excellent analytical and problem-solving skills, with keen attention to detail.
Strong written and verbal communication skills, with the ability to convey complex information effectively.
Ability to work independently and collaboratively in a team environment.
Demonstrated ability to manage multiple tasks and meet deadlines in a fast-paced environment
Responsibilities
Support the implementation and execution of the AI/ML model risk management framework, policies, and procedures for AI/ML models.
Conduct model risk assessments to identify potential risks, weaknesses, and limitations in AI/ML models.
Assist in developing and implementing model validation plans, including testing methodologies, data collection, and analysis.
Collaborate with cross-functional teams to review and document model assumptions, methodologies, and limitations.
Conduct ongoing monitoring and tracking of model performance, identifying and escalating any issues or deviations.
Assist in preparing and presenting model risk reports to management and relevant stakeholders.
Stay updated on industry best practices, regulatory requirements, and emerging trends in model risk management, focusing on Ai/ML models.
Contribute to the enhancement of model risk management processes, tools, and methodologies.
Collaborate with internal functions such as model owners, to ensure compliance with relevant standards