Vice President, Data Scientist
Core
Leading the Applied AI R&D team to develop and deploy production-level AI/ML and Generative AI/LLM models that solve complex business problems in financial services.
Role type
VP, Applied AI Research & Development (IC + Team Leadership)
Builds
Production AI/ML models, patents, academic papers, and decision-support analytics for BNY's global financial services clients.
Domain
Financial Services / Artificial Intelligence / Machine Learning / Generative AI
Deliverable
production ML models | product features | research
Required skills
Applied data science, Machine Learning, Natural Language Processing (NLP), Generative AI/LLM, Python, TensorFlow/PyTorch, Keras, scikit-learn, pandas, statistical analysis, feature engineering, predictive analytics, clustering, anomaly detection, sentiment analysis, entity recognition, patent writing, academic publishing, stakeholder engagement, technical leadership
Preferred skills
Financial services industry experience, business acumen, knowledge of banking industry trends
Technologies
Python, scikit-learn, pandas, Keras, TensorFlow, PyTorch, LLM frameworks
Responsibilities
Develop AI/ML and Generative AI models from proofs of concept to production; write patents and publish academic papers at top-tier conferences; define actionable insights using statistical analysis; evaluate solutions and assess model risk; collaborate with SMEs to obtain domain knowledge; share findings and promote adoption of AI tools; lead the Applied AI R&D team and drive innovation.
Seniority
Executive (VP), hands-on IC with team leadership
