Lead Software Engineer Analytics - Python

Are you ready to redefine the future of financial technology? As a Lead Software Engineer within our Wholesale Credit Risk Technology Analytics team at JPMorgan Chase, you will step into a high-impact role where your technical expertise directly influences global financial stability. We are looking for a passionate Python expert who thrives in an agile environment and is eager to push the boundaries of what is possible. You will not just be writing code; you will be architecting critical analytical solutions that power our firm’s most complex decision-making processes, all while collaborating with some of the brightest minds in the industry.

This is more than just a job; it is a launchpad for your career that offers the scale and complexity only a firm like JPMorgan Chase can provide. You will have the unique opportunity to bridge the gap between sophisticated data analytics and robust software engineering, ensuring our systems are as resilient as they are innovative. If you are a graduate or early-career professional with a hunger for solving intricate technical challenges and a drive to lead from the front, we invite you to join us. Embark on an adventure where your contributions are visible, your professional growth is prioritized, and your work makes a tangible impact on the world of finance.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.