Top Data & Analytics Jobs

As a Quant Analytics Senior Associate, you will translate business needs into data models, create data points, collaborate with various teams, and present insights to stakeholders. You will work on delivering insights in descriptive, diagnostic, predictive, and prescriptive analytics within the Payments Analytics team.

As a Lead Software Engineer, you'll design and deliver secure technology products, analyze data, develop reporting frameworks, and present recommendations to improve business strategies. You'll collaborate with teams to define KPIs and ensure data integrity while contributing to software engineering practices and team culture.

2025 Machine Learning Center of Excellence Summer Associate - NLP and Time Series Reinforcement Learning role at the Machine Learning Center of Excellence focusing on NLP, Speech Recognition, and Time Series analysis. Responsibilities include collaborating with mentors, conducting independent research, and providing solutions using advanced machine learning techniques.

As the Generative AI Executive Director, you will lead the development and optimization of LLM-based AI products, focusing on scalability, collaboration with cross-functional teams, and ensuring APIs effectively handle requests without compromising performance.

The Data Owner Lead role involves overseeing the delivery of data products, promoting AI/ML capabilities, improving data quality, and ensuring compliance with data protection policies. The role requires collaboration with cross-functional teams to address data issues, manage risks, and meet delivery milestones.

Join JPMorgan Chase’s Experience Design teams as a Full-Time Analyst in the 2025 Design Development Program. Work under mentorship to create impactful user experiences, engage in research, and contribute to innovative banking solutions. Develop business acumen and collaborate with multi-disciplinary teams to drive design thinking and usability testing on product experiences.

Lead data engineering teams to achieve functional technology objectives, make strategic decisions, deliver data pipeline and architecture solutions, influence stakeholders, and champion diversity and inclusion.