Applied AI ML Associate - Fusion

Join us as an Applied AI ML Associate and help shape the future of data-driven solutions. You’ll collaborate with talented teams, solve complex challenges, and make a real impact for our clients. We offer opportunities to grow your business and technical skills while working with cutting-edge technology. Your contributions will help us deliver meaningful results and showcase the value of our Fusion platform. Be part of a team where your ideas and expertise matter.

As an Applied AI ML Associate in the Data Science team, you will solve complex problems and develop innovative tools and models for internal and external clients. You will build and maintain code and documentation, working closely with data science, product development, and technical teams. You will play a key role in enhancing Fusion, our cloud-native data solution for institutional investors, supporting end-to-end data management, analytics, and reporting. Your work will enable seamless integration of data from multiple sources, helping clients unlock timely analysis and insights. You’ll have the chance to grow your skills and make a critical impact on our team’s success.

Job Responsibilities:

• Develop tools using algorithmic, statistical, and machine learning approaches
• Utilise cloud technology and infrastructure to perform analysis at scale
• Build and maintain code base and documentation
• Implement programmatic data validation by codifying conventions and data relationships
• Optimise processes and improve dataset quality
• Automate repetitive tasks with Python
• Write maintainable and extensible code for other analysts
• Collaborate with data science, product management, and data engineering teams
• Contribute to the development and enhancement of Fusion’s data management and analytics capabilities
• Continuously learn and stay current with industry trends

Required Qualifications, Capabilities, And Skills:

• Programming experience in at least one language for machine learning (e.g., Python, R, MATLAB, Rust)
• Knowledge of open source data analysis tools and visualisation libraries (such as pandas and matplotlib)
• Working knowledge of machine learning libraries
• Familiarity with version control systems (e.g., git)
• Functional skills in SQL and other database technologies
• Strong communication and listening skills
• Ability to thrive in a fast-moving environment with loosely defined tasks
• Attention to detail with strong record-keeping and organisational skills
• Motivation for continuous learning 

Preferred Qualifications, Capabilities, And Skills:

• Degree in an analytical discipline (STEM)
• Experience in academic research and writing (e.g., project work, dissertation)
• Basic understanding of financial markets
• Experience with Agentic systems

Why Join Us?
Fusion is a cloud-native data solution for institutional investors, providing end-to-end data management, analytics, and reporting across the investment lifecycle. You’ll help clients seamlessly integrate and combine data from multiple sources into a single data model, delivering the benefits of scale, reduced costs, and the ability to unlock timely analysis and insights. If you’re ready to make an impact and grow your career in a collaborative, innovative environment, we invite you to join our team.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
   We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.