Top Data & Analytics Jobs in NYC, NY

As a Vice President in Quantitative Research Credit, you will enhance the Loan Financing and Direct Lending business by automating processes, strengthening risk management, creating quantitative tools, conducting scenario analyses, and developing models for asset quality assessment, ensuring compliance in documentation and facilitating model reviews.

As a Vice President in the Regulatory Strategy Chief Data & Analytics Office at JPMorgan Chase, you will manage regulatory examinations, maintain relationships with regulators, oversee engagement reports, and ensure effective communication between business lines for compliance with regulatory requirements. The role involves strategic advice and collaboration with senior leaders globally.

The Vice President will perform quantitative and qualitative due diligence on hedge fund investments, analyze portfolio fits, make recommendations regarding hedge fund strategies, and conduct ongoing assessments of hedge fund managers. This role requires strong analytical skills, project management, and collaboration with a team of investment analysts.

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 a Summer Associate in the Machine Learning Center of Excellence, you will apply advanced machine learning techniques to solve financial problems, work on independent research, collaborate with mentors, and tackle challenges in natural language processing and reinforcement learning.

As a Research Scientist, you will conduct AI research in financial services, collaborating with internal teams and academic faculty. Responsibilities include formulating problems, developing models, conducting experiments, and producing business applications and publications, while contributing to the broader AI community.

The role involves researching trustworthy computer vision and machine learning, providing innovative solutions to internal teams, collaborating on scientific papers, and contributing to intellectual property protection. Candidates will support their professional development through project work and mentorship during the internship.