Top Data & Analytics Jobs in NYC, NY

The Experience Design Lead AI Data Science Vice President will drive innovative user experience design initiatives, mentor junior designers, and ensure alignment with business needs through inclusive and accessible practices. Responsibilities include developing design strategies, creating wireframes, and collaborating with teams to enhance user-centric solutions across AI products in Securities Services & CDAO.

As a Full-Time Analyst in the 2025 Firmwide Design Development Program, you will learn and contribute to JPMorgan Chase's design teams, focusing on user experience and research. You will design product experiences, conduct user research, and work collaboratively with multi-disciplinary teams, all while being mentored by experienced UX practitioners.

As an analyst in the Americas Equities Structuring Team, you will develop new equity derivatives and structured products, focusing on index development, pricing, and marketing while collaborating with multiple teams.

The Analytics Solutions Lead, Vice President will lead cross-functional teams to address complex challenges at the intersection of finance and AI. Responsibilities include collaborating with software engineers and data scientists, developing products that enhance client services, and driving innovation within J.P. Morgan.

The Analyst will support the Connected Commerce Martech Platform team by managing digital analytics and martech platforms, ensuring effective data collection and measurement, and collaborating with product and marketing teams. Responsibilities include implementing tracking solutions, maintaining documentation, and offering training while ensuring best practices and communication across technical and business stakeholders.

As an AI Research Scientist, you will conduct in-depth research in AI and ML, collaborate with teams on various projects, and contribute throughout the research lifecycle. Your work will focus on developing scalable AI solutions for financial services, producing impactful business applications, and participating in academic quality conferences to disseminate your findings.

As an Applied Research Scientist, you will advance quantum-inspired and randomized algorithms with applications in optimization and machine learning. Responsibilities include developing performant software for these algorithms, providing research solutions, documenting findings, and protecting generated intellectual property.