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Tier-1 brand plus metro location increases applicant competition moderately.
Requires deep ML/AI and model governance experience, making cross-industry transferability limited.
Role requires specialized ML/LLM, deployment, and model-risk skills in a regulated environment, so filters are strict.
Manage and deliver the end-to-end Investor Operations AI book of work, including prioritization, execution, and value delivery.
Oversee AI solution design and implementation ensuring alignment with enterprise platforms, governance, and regulatory standards.
Coordinate AI initiatives across teams to promote reuse, standardization, and scaling of AI capabilities throughout Investor Operations.
Strong technical expertise in AI tools including Machine Learning (classification, regression, clustering), NLP, LLMs, and Intelligent Document Processing (IDP).
Experience with Python ecosystems, LLM architectures (prompting, RAG), and enterprise/cloud AI platforms.
Bachelor's or University degree or equivalent experience.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in overseeing AI operational delivery with ability to coordinate multiple AI projects and teams for large-scale financial operations.
Comfortable engaging in technical discussions and challenging engineering and data science teams on AI model design and deployment.
Familiar with regulatory requirements and model risk management in a financial services context.