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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President, Data Scientist - **Company:** The Bank of New York Mellon Corporation - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Programming, Decision Support Systems, Machine Learning, Software Deployment, Computational Statistics - **Published:** August 20, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17998125?backUrl=%2Fcareer%2F17998125%2FVice-President-Data-Scientist-New-York-New-York ## About the Role * Significant experience in quantitative analytics, model development, quantitative research, machine learning, or quantitative platform delivery within financial markets. * Deep knowledge of derivative pricing, quantitative modelling, valuation methodologies, and risk analytics across one or more asset classes. * Strong understanding of XVA frameworks, collateral management, funding and capital optimisation concepts. * Experience applying machine learning, artificial intelligence, or advanced data science techniques to financial markets, trading, risk, or operational challenges. * Demonstrated track record of designing and delivering complex quantitative and AI-enabled solutions from concept through implementation and production deployment. * Strong stakeholder management and influencing skills, with the ability to partner effectively with senior business, risk, technology, and regulatory stakeholders. * Excellent problem-solving, analytical, and quantitative research capabilities. * Experience supporting model governance, validation, regulatory requirements, and AI risk management within a controlled environment. * Strong programming skills and experience working with modern quantitative, data science, and AI technology stacks. * Ability to operate independently, providing thought leadership and technical direction on strategically important initiatives without direct people-management responsibility ## Description * Serve as a senior quantitative expert supporting the Pricing, XVA, Securities Finance, and AI-driven analytics businesses, delivering high-impact models, analytics, and strategic quantitative solutions. * Partner closely with trading, risk, technology, product, and AI engineering teams to develop and enhance quantitative models, advanced analytics, and AI-enabled solutions that support business growth, client outcomes, and risk management objectives. * Design, implement, and evolve pricing and valuation frameworks across multiple asset classes, ensuring consistency, transparency, robustness, scalability, and readiness for AI-assisted workflows. * Contribute deep quantitative expertise to the development of XVA analytics, capital optimisation, funding valuation adjustment methodologies, and balance sheet efficiency initiatives. * Develop innovative quantitative and AI-powered solutions for Securities Finance, including collateral optimisation, inventory analytics, financing strategies, intelligent decision support, and client-focused analytical capabilities. * Apply advanced statistical, machine learning, and AI techniques to solve complex business problems, improve analytical efficiency, and unlock new commercial opportunities across Markets. * Act as a trusted advisor to senior stakeholders across Markets, translating complex quantitative, machine learning, and AI concepts into actionable insights and business decisions. * Provide technical leadership on quantitative methodologies, AI adoption, model architecture, implementation approaches, and analytics strategy across key Markets initiatives. * Support model governance, validation activities, regulatory engagement, and controls for both traditional quantitative models and emerging AI capabilities, ensuring compliance with internal and external standards. * Drive the delivery of complex quantitative and AI initiatives from research and experimentation through implementation and production deployment, partnering closely with engineering and platform teams. * Contribute to the advancement of quantitative and AI best practices, intellectual capital, innovation, and thought leadership across the broader organisation. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Pioneering AI Assistants in Banking](https://www.wearedevelopers.com/videos/1627-pioneering-ai-assistants-in-banking) - [100 times more frequent deployments: How did we create a high performance team?](https://www.wearedevelopers.com/videos/1069-100-times-more-frequent-deployments-how-did-we-create-a-high-performance-team) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [From Space to Software: Reliability Lessons 40 Years After Challenger](https://www.wearedevelopers.com/videos/100283-from-space-to-software-reliability-lessons-40-years-after-challenger) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)