Posted by JPMorgan Chase & Co. is an American multinational investment bank and financial services holding company headquartered in New York City and incorporated in Delaware.
AI & Data Science / Data, Analytics Internship Opportunities
Location: Europe, Middle East, & Afric, North America, United States, Asia Pacific
Job Description:
You’ll apply the latest Data Science techniques to our unique data assets while collaborating directly with traders and salespeople to drive the data-led transformation of our businesses.
Depending on your area of interest, AI & Data Science Interns will be placed on one of the following teams:
• AI Research: Explore cutting-edge research in the fields of AI and Machine Learning, as well as related fields like Cryptography, to develop solutions that are most impactful to J.P. Morgan’s clients and businesses. The team works closely with the QR and Data Analytics teams across the firm, and partners with leading academic and research institutions around the world on areas of mutual interest.
• Applied AI & Machine Learning: Combine machine learning techniques with unique data assets to optimize business decisions. Develop tools to leverage machine learning and deep learning models to solve problems in areas like Speech Recognition, Natural Language Processing and Time Series predictions.
• Quantitative Research Machine Learning: Use techniques like collaborative filtering, deep learning and reinforcement learning. Touch all aspects of the business from sales and client interaction, to risk management, inventory and portfolio optimization, electronic trading and market making.
• Markets (Sales, Trading & Research): Invent new ways to access market liquidity, run statistical analysis, create new mathematics models, write code and build and deploy everything from enterprise technology initiatives to big data.
• Asset Management: Provide quantitative solutions to asset allocation and portfolio construction.
Qualification:
For our internship roles we’re looking for those enrolled in an undergraduate or graduate degree program in math, sciences, engineering, computer science or other quantitative fields.
We are seeking colleagues with excellent analytical, quantitative and problem solving skills and demonstrated research ability. We value strong communication skills and the ability to present findings to a non-technical audience. We do not require you to have prior experience in financial markets.