Responsibilities:
- Provide independent review and effective challenge on the soundness and fit-for-purpose of AI/ML non-model objects
- Manage AI/ML risk across all life-cycle activities including initial review, ongoing monitoring, and periodic reviews
- Conduct analysis and prepare detailed technical documentation reports sufficient to meet regulatory guidelines and exceed industry standards
- Identify weaknesses and limitations of AI/ML objects and inform stakeholders of their risk profile and recommend compensating controls
- Communicate results to diverse audiences such as AI/ML object owners and developers and other senior members within the group
- Provide guidance to junior reviewers as and when necessary
Qualifications:
- Advanced degree (Master's and above) is required in the fields of mathematics, statistics, computer science, engineering, Data Science, AI/ML, etc.
- At least 5-7 years' experience and analytical expertise with model / AI / ML applications in banking or related industries
- In-depth technical knowledge of common AI/ML techniques and strong understanding of risks associated with AI/ML and corresponding mitigants
- Experience / familiarity with AI / ML applications in areas such as cybersecurity, chatbot, natural language processing, image / voice recognition, robotic process automation
- Ability to collaborate with peers and stakeholders with various background, and to effectively explain technical terms to audience with different levels of technical knowledge
- Self-motivated and detail oriented
- Proficiency in programs such as R and Python and common AI/ML packages
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