Top Data & Analytics Jobs

The Strategy Analyst will work with the Global Technology Strategy team to define and analyze problems, structure data analyses, research competitors, and create communication materials for senior management. This role involves collaboration across different teams to shape technology strategies that support the organization's business goals.

As an Analyst in J.P. Morgan's SEMAC team, you will provide advisory services related to shareholder engagement and M&A, create detailed analyses, manage daily advisory mandates, and collaborate with senior team members. You'll also develop insights into trading activities while producing high-quality deliverables and coordinating with the Digital Investment Bank.

As a Machine Learning Scientist - NLP, you will leverage machine learning and deep learning techniques to solve complex problems in natural language processing and more. You will collaborate with various teams to deploy solutions in production, research new methods, and develop scalable models for real-world applications.

As a Strategic Index Linear Analyst, you will develop and market Quantitative Investment Strategies, conduct research, code backtests, prepare client pitches, engage with clients, and coordinate with various teams on strategy development and production. You will evaluate market impacts on strategies and ensure compliance with regulations.

As an Investment Banking Germany Coverage Analyst/Associate, you'll support execution and marketing across industries, conduct market research, prepare client presentations, perform valuation analyses, and build complex financial models while executing transactions from pitch to close.

Applied AI/ML Senior Associate role at JPMorgan Chase & Co. Responsibilities include developing AI/ML solutions, collaborating with teams, and advising on optimal solutions. Required qualifications include advanced degree in analytical field, experience in AI/ML, NLP, and strong coding skills in Python.

The Applied AI ML Director at JPMorgan Chase is responsible for leading the development and implementation of AI/ML use cases within the International Private Bank. This role includes advising on product strategy, overseeing the ML Development Lifecycle, and mentoring developers while ensuring compliance with regulations and enhancing technical practices across teams.