Join us at the forefront of AI innovation, where your expertise will shape the future of operations and technology. You’ll collaborate with talented engineers, researchers, and business leaders to deliver impactful solutions. At JPMorgan Chase, we empower you to grow your career while making a real difference. Be part of a team that values creativity, collaboration, and continuous learning. Your contributions will help us redefine what’s possible in financial services.

As an Applied Artificial Intelligence & Machine Learning Associate in Operations, you will work within an applied AI team dedicated to transforming customer onboarding and software engineering practices. You will partner with software engineers, business stakeholders, and machine learning experts to identify and implement efficiency improvements. Your work will directly impact KYC and onboarding operations, as well as the software development lifecycle. You will help foster a culture of innovation and excellence.

Job responsibilities

• Formulates, communicates, and drives implementation of Artificial Intelligence solutions for challenging problems in KYC and onboarding operations and software engineering

• Builds robust, scalable, and reusable Artificial Intelligence and Machine Learning capabilities

• Works with software engineering to design and deploy services that can be integrated with strategic systems and processes

• Learns about and understands our supported business to drive practical and successful solutions

• Conducts comprehensive data analysis and identifies trends, patterns, and anomalies to support strategic decision-making.

• Documents and explains the rationale and design considerations behind the selection of Machine Learning approaches

• Provides updates on the project status to senior management and stakeholders

Required qualifications, capabilities, and skills

• Master’s or Bachelor's Degree in an Machine Learning or related field

• Proficient understanding of fundamental Artificial Intelligence and Machine Learning techniques

• Practical experience with statistical data analysis and experimental design

• Programming skills in Python

• Effective verbal and written communication skills with technical and business audiences

• Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds

Preferred qualifications, capabilities, and skills

• PhD in Machine Learning, Computing Science, or related fields

• Research or work experience in using Artificial Intelligence for Finance or Tech

• Presentation skills, strong client partnership & stakeholder and project management skills

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