Specialist – AI / ML Governance, Risk Assessment & Model Evaluation (Financial Services Industry)

Position Overview:The job incumbent will report to AI Governance Lead.Ideally, the candidate is a technically strong AI/ML practitioner who has transitioned into or is passionate to transition into AI governance and risk, with practical experience evaluating models, understanding GenAI, and building governance tools.Capable of bridging the gap between AI team and business/regulatory stakeholders, ensuring responsible and compliant use of AI across the organisation.Working experience in financial services (banking, fintech, insurance) is preferred due to regulatory expectations, risk culture, and governance maturity.Role Responsibilities:Support development and implementation of the AI governance framework, policies, and procedures, ensuring the framework and related documents are practical, scalable, and aligned with regulatory expectations.Support quality assurance activities and reviews for Generative AI (GenAI) use cases including model comparison and selection, defining and applying Quantitative performance metrics for GenAI models, and setting and reviewing minimum thresholds and best practices.Assist in identifying and quantifying potential risks across the GenAI lifecycle, and work with stakeholders to develop mitigation plans that address operational, regulatory, and reputational considerations.Provide guidance, advisory support, and oversight to business units on AI governance matters, ensuring consistency in application across the organisation.Assist to prepare presentation materials and dashboards for management reporting, governance committees, and internal training sessions to build awareness and capability in ethical and responsible AI practices.Education, Experience, Specific Skills & Competencies:Bachelor’s degree in a relevant field, e.g. Computer Science, Data Science, or Artificial Intelligence.3 – 5 years of experience in AI/ML development, model validation or AI risk or validation functions.Strong understanding of AI/ML model evaluation; able to pick up evaluation for GenAI models including on output quality, robustness, and alignment with business and regulatory requirements.Familiarity with major cloud platforms (e.g. Azure, AWS) and their GenAI-related services such as Azure OpenAI, AWS Bedrock, GCP Vertex AI etc.Knowledge of open-source AI/ML tools and libraries such as Hugging Face.Strong communication skills to convey quantitative results to non-technical stakeholders.Working experience in financial services industry preferred.For more information, kindly contact Sunny Khoo via WhatsApp at 012-5164406 or via email at sunny.khoo@peoplelake.asiaThank you.PeopleLAKE is a full-service HR solution company providing Recruitment, HR Outsourcing, and Corporate Training. eLawyer Recruitment is part of PeopleLAKE Group. Visit us on https://peoplelake.asia/ follow us on https://www.linkedin.com/company/peoplelakegroup/ to get updates on latest job opportunities or for legal jobs visit on https://elawyer.com.my/ and follow us on https://www.linkedin.com/company/agensi-pekerjaan-els-sdn-bhd/