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Tier-1 brand, metro location, and visible ML leadership role increase applicant density moderately.
Financial markets domain and investment banking ops preference reduces cross-industry transferability.
Requires advanced degree, production ML and MLOps experience, and leadership, so high filter.
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Lead design, development, and end-to-end delivery of AI/ML solutions to enhance Market Operations, driving measurable impact.
Manage and mentor a team of AI/ML data scientists, ensuring agile practices and production-grade deployments.
Partner with engineering for scalable AI/ML architecture, engage cross-functionally with stakeholders to align solutions with business needs.
MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.
Significant proven experience building and deploying AI applications in large scale production environments, including MLOps.
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Experience managing data science teams and mentoring members.
Experienced leader capable of managing cross-functional, agile AI/ML delivery teams in a financial services context.
Strong technical expertise in AI/ML lifecycle, architecture, and production deployment in large-scale environments.
Able to drive clarity, prioritize development prerequisites, and communicate effectively with technical and non-technical stakeholders.