AI Researcher - Senior Associate

Testing Site - JPMC; Greater London; On-site; GBP 85,000 - 125,000; Full time

Job summary

The Chief Data & Analytics Office at JPMorgan Chase is advancing the firm’s data-driven approach by leveraging AI/ML to create new products, enhance risk management, and improve productivity. This AI Research Senior Associate role focuses on novel techniques, tools, and models to tackle large-scale problems with impact across business units.

You will collaborate with data scientists, engineers, and business stakeholders, developing state-of-the-art solutions and contributing to high-impact

Qualifications

• PhD in Computer Science, Engineering, or related fields.
• Programming skills in Python.
• Proficient understanding of fundamental AI and ML techniques.
• Practical experience with statistical data analysis and experimental design.
• Curiosity, creativity, resourcefulness, and a collaborative spirit.
• Effective verbal and written communication skills with technical and business audiences.
• Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds.
• Interest in problems related to the financial services domain.

Responsibilities

• Work on multiple commercially-orientated research projects in collaboration with internal data scientists, applied engineering teams and business stakeholders
• Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build innovative solutions, and communicate research significance
• Contribute to high-impact business applications, open-source software, and patents
• Develop state-of-the art machine learning models to solve real-world problems at scale

Skills

PhD in Computer Science

Python

ML techniques

Statistical data analysis

Communication skills

Team collaboration

Curiosity/creativity

Financial services domain interest

Education

PhD in Computer Science or related

Tools

TensorFlow/Keras

PyTorch

Job description

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutionsthat support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As an AI Research Senior Associate in J.P. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in various technical and business disciplines, contributing to high-impact business applications at the cutting edge of AI.

Job responsibilities

• Work on multiple commercially-orientated research projects in collaboration with internal data scientists, applied engineering teams and business stakeholders
• Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build innovative solutions, and communicate research significance
• Contribute to high-impact business applications, open-source software, and patents
• Develop state-of-the art machine learning models to solve real-world problems at scale

Required qualifications, capabilities, and skills

• PhD in Computer Science, Engineering, or related fields
• Programming skills in Python
• Proficient understanding of fundamental AI and ML techniques
• Practical experience with statistical data analysis and experimental design
• Curiosity, creativity, resourcefulness, and a collaborative spirit
• Effective verbal and written communication skills with technical and business audiences
• Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds
• Interest in problems related to the financial services domain

Preferred qualifications, capabilities, and skills

• Research publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals)
• Practical experience with ML platforms such as TensorFlow/Keras, PyTorch
• Comfort with rapid prototyping and disciplined software development processes
• Practical software engineering experience in collaborative project settings