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Tier-1 brand, popular Product Manager title, and metro location drive high candidate competition.
Strong securities services and financial-data requirement reduces cross-industry transferability, increasing background sensitivity.
Mandatory 7+ years and specific securities, Data/AI, and data-lake skills create high shortlisting strictness.
Own and execute the product vision, strategy, and roadmap for Securities Services Data and AI Centre of Excellence aligned with business and client needs.
Provide hands-on technical leadership in data and AI architecture, including data ingestion, processing, analytics, RAG, prompt engineering, and AI/ML applied to financial data.
Manage end-to-end product delivery including stakeholder engagement, ensuring data quality, lineage, and continuous product improvements.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
7+ years experience in technical product management, data engineering, or related roles with significant exposure to data lake technologies (e.g., Databricks, Hadoop, Spark, AWS, Azure) and AI/ML solutions on financial data.
Strong background in securities services, financial data, or capital markets.
Experience delivering complex, large-scale data solutions with understanding of data architecture, ETL, quality frameworks, data lineage, and analytics platforms.
Experienced in managing and scaling AI and ML products in a financial or securities services environment.
Skilled in collaborating with global, cross-functional teams and managing diverse stakeholder requirements.
Technically proficient with hands-on expertise in data pipelines, AI model fine-tuning, RAG, and context engineering for structured and unstructured financial data.