Are you ready to make a difference in a dynamic, innovation-driven environment? At JPMorgan Chase, you’ll work with Global Technology Applied Research to explore frontier technologies and shape next-generation solutions. You’ll have the opportunity to grow your career, expand your skills, and contribute to meaningful projects that impact our clients and businesses. We value your expertise and encourage you to push the boundaries of what’s possible. Join us and be part of a collaborative team that thrives on creativity and discovery.

As an Applied Research Associate in Global Technology Applied Research, you will lead the quantitative development of machine learning models alongside researchers and trading desks. You will contribute to applied research initiatives by prototyping, validating, and productionizing new algorithms and applications. You will help drive innovation across emerging technologies and support the development of solutions for financial and security applications. Your work will directly influence the firm’s technology strategy and client offerings. You will be part of a team that values collaboration, creativity, and continuous learning.

Job Responsibilities:

• Design and develop quantitative time-series models using AI/ML for business clients
• Support research and development of new solutions for financial AI/ML and security applications
• Monitor industry trends, emerging technologies, and best practices to inform strategic direction
• Communicate research findings, technical insights, and recommendations to technical and non-technical stakeholders
• Collaborate with interdisciplinary teams to drive innovation and deliver impactful technology solutions

Required Qualifications, Capabilities, and Skills:

• Degree in Computer Science, Physics, Engineering, or another quantitative field, or equivalent practical experience
• Strong quantitative and statistical background
• Proficiency with Python, machine learning models for time series, and natural language processing
• Experience in software engineering, applied AI/ML research, or technology R&D
• Familiarity with modern development tools and cloud platforms
• Excellent communication and teamwork skills
• Ability to translate complex technical concepts for diverse audiences
• Demonstrated ability to innovate and deliver impactful solutions in a fast-paced setting

Preferred Qualifications, Capabilities, and Skills:

• Background in stochastic and statistical modelling for financial or scientific applications
• Experience with cloud deployment
• Knowledge of differential privacy or quantitative finance
• MSc or PhD in a quantitative field with a track record of publications

Why Join Us?

You’ll be part of a forward-thinking team that values innovation, collaboration, and professional growth. We offer opportunities to work on cutting-edge projects, expand your skills, and make a meaningful impact on the future of technology at JPMorgan Chase.