Top Data & Analytics Jobs in NYC, NY

As a Summer Analyst in Quantum Computing, you will work on quantum-inspired algorithms, implement them in performant software, and contribute to research. The role includes innovative problem-solving, developing codes, and presenting findings to stakeholders.

As a Quantum Computing Applied Research Summer Analyst, you will advance quantum algorithms' theory and practice, document findings, and contribute to intellectual property while engaging in project work with mentorship and senior stakeholders.

Join JP Morgan Rates Quantitative Research team as a Quantitative Research - Rates Vice President. Responsibilities include developing models in Python/C++, pricing, risk management, and product-specific analysis. Requires a PhD in a quantitative subject and 2+ years of experience in a front office environment.

As a Summer Associate in Quantum Computing, you will advance quantum algorithms research, document findings in scientific papers, and contribute to intellectual property protection. You will collaborate with researchers and receive mentorship throughout the program, focusing on theory and practice in quantum computing.

The Data Owner Lead will manage the personalization data roadmap, collaborate with product and analytics teams to enhance consumer experiences, and will engage with tech partners for data delivery using modernized platforms. Responsibilities include data requirements development, backlog management, sprint planning, and leading discovery on new initiatives to drive business value through data-driven strategies.

As an Analytics VP, you will lead advanced analytics projects involving sales and ops forecasting, campaign performance insights, and stakeholder presentations. Collaborating with various teams, you will develop effective analytics solutions to drive business growth, enhance communication, and present key findings.

The Machine Learning Strategist will lead strategic development of AI/ML products at JPMorgan, integrating business and technical aspects, optimizing project management, and identifying new opportunities within the Machine Learning Center of Excellence.