Join our team as a Data Science Associate at J.P. Morgan, where you'll solve complex problems and develop tools and models to benefit internal and external clients. As part of our Commercial & Investment Bank division, a global leader across banking, markets, securities services and payments, you'll be working with cutting-edge technology and contributing to transformative solutions.
In this role, you'll be developing sophisticated tools using algorithmic, statistical, and machine learning methodologies. You'll leverage cloud technology to conduct large-scale analysis, automate tasks, and create models that drive business value. Working closely with product management and data engineering teams, you'll help improve platform usability and engage directly with clients.
This position offers excellent opportunities for growth in both business and technical skills. You'll be part of a dynamic team that values continuous learning and innovation. You'll work with the latest technologies including Python, SQL, and various machine learning libraries, while gaining exposure to financial markets and enterprise-scale data science applications.
The ideal candidate combines strong technical skills with excellent communication abilities. You should be comfortable in a fast-paced environment, working on complex problems that require collaboration with multiple stakeholders. We're looking for someone who can not only develop sophisticated models but also maintain and document code effectively.
J.P. Morgan offers a collaborative environment where you'll work alongside industry experts and have access to cutting-edge technology. As part of our commitment to diversity and inclusion, we welcome candidates from all backgrounds and provide comprehensive benefits and professional development opportunities.
This role is based in London and offers the chance to work with a global team, contributing to projects that have real impact on the financial services industry. If you're passionate about data science, eager to learn, and want to work with some of the most complex and interesting datasets in the financial world, this position offers an excellent opportunity to advance your career.