2026 Applied AIML Associate Program Internship

Description

Commercial & Investment Bank J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely transforming the movement of information money and assets. We tackle complex challenges at every stage of the payment lifecycle and our industry-leading solutions facilitate seamless transactions across borders industries and platforms. Operating in over 160 countries and handling more than 120 currencies we are the largest processor of USD payments with a daily transaction volume of $10 trillion.

As an Summer Associate in the Payments team you will use your expertise in NLP and large language models to develop business-centric products that enhance investment processes improve client experiences and streamline operations. You will work closely with investors and portfolio managers to extract vital insights from financial reports analyst notes and client communications empowering data-driven decision making and process automation.

Job Responsibilities

• Apply AI/ML education to solve real-world problems in the Payments space focusing on Trust & Safety challenges.
• Collaborate actively with Product Technology and cross-functional teams to deeply understand complex business issues and develop data-driven solutions in key payments areas.
• Design develop and deploy machine learning and AI models that align with business objectives ensuring solutions are scalable efficient and meet defined success metrics.
• Work closely with Risk and Compliance teams to document models monitor performance and ensure regulatory compliance is maintained.
• Translate model results into meaningful business impact metrics and effectively communicate technical concepts to senior management and stakeholders.

Required qualifications capabilities and skills

• Currently enrolled in a Masters or PhD program in a quantitative discipline (e.g. Computer Science Computer Engineering).
• Deep understanding of statistics optimization and machine learning theory with emphasis on NLP RL and/or Computer Vision algorithms.
• Proficiency in programming languages such as Python and familiarity with machine learning libraries and frameworks.
• Excellent communication skills to convey complex technical concepts and build trust with stakeholders.

Required Experience:

Intern