Applied AI Machine Learning Lead, Asset Management

Organization Overview

J.P. Morgan Asset & Wealth Management is a leading force in investment management and private banking, delivering top-tier solutions for individuals, advisors, and institutions. Our Asset Management division offers a wide range of strategies across various asset classes, backed by our extensive global network of professionals. Additionally, our Wealth Management services focus on providing clients with intentional strategies to effectively manage and enhance their financial assets and goals.

About J.P. Morgan

As a global powerhouse in financial services, J.P. Morgan stands at the forefront, offering nuanced strategic advice and premium products to the most influential corporations, governments, and individuals worldwide. Our commitment to excellence defines our approach to business and fuels our mission to establish enduring partnerships that help our clients achieve their commercial objectives.

We value the diverse backgrounds of our workforce, recognizing that our people are the cornerstone of our success. As an equal opportunity employer, we champion diversity and inclusion, ensuring no discrimination based on protected characteristics. We are also committed to providing accommodations for health and religious needs.

Job Opportunity: Applied AI Machine Learning Lead in Asset Management

J.P. Morgan Asset Management is actively enhancing AI capabilities within our teams. We are excited to announce an opening for a talented Software Engineer specialized in Python and experienced in leveraging Large Language Models (LLMs). Positioned within Asset Management, the successful candidate will play a critical role in piloting, crafting, and executing a large-scale federated LLM platform.

Collaboration with Agile teams, Global Data Science groups, and other tech divisions will be pivotal as you focus on creating reliable, leading-edge technology solutions that are secure, robust, and scalable. This role involves hands-on development, technical advising, and the application of innovative problem-solving skills in a high-stakes, regulated environment.

Key Responsibilities:

• Development and operation of sophisticated LLM applications.
• Strategic partnership with technology teams to guide LLM integration and support.
• Collaboration across Data Science and Cybersecurity teams to push the boundaries of ML products.
• Deployment of robust data storage and processing infrastructures with DevOps engineers.
• Coding, testing, debugging, and review of secure, high-quality production software.
• Foster a team environment rooted in diversity, equity, inclusion, and respect.

Required Qualifications:

• Advanced degree in Computer Science or related field.
• Extensive Python programming expertise.
• Proven experience in developing and scaling ML-driven products.
• Familiarity with Azure, AWS, Kubernetes, Airflow, and other cloud technologies.
• Comprehensive knowledge of the Software Development Life Cycle.
• Experience with Terraform, Infrastructure as Code, and cloud-native architecture design.

Preferred Qualifications:

• Past involvement with financial data and data science methodologies.

J.P. Morgan is an advocate for nurturing a professional environment where diverse talents thrive. If you are eager to drive innovation within an esteemed financial entity, contribute to cutting-edge projects, and capitalize on a career that promotes growth and development, we would love to receive your application. Witness your potential unfold at J.P. Morgan where your work impacts global finance and helps shape our technological future.