Senior AI/ML Scientist – Payments Solutions

J.P. Morgan; New York (NY); On-site; USD 110,000 - 140,000; Full time

Job summary

J.P. Morgan is looking for a Sr. Associate Applied AI/ML Scientist to join the Payment Solutions team in New York. In this role, you will leverage AI and machine learning technologies to enhance payment solutions and drive business growth. Your work will involve designing scalable data processing pipelines and developing models that improve transaction integrity and customer experience.

The ideal candidate will hold a Master’s degree in a quantitative field and have expertise in Python, machine learning frameworks, and large-scale data processing, particularly in AWS environments.

This position commits to diversity and inclusion as core values in the workplace.

Qualifications

• Master’s degree with 3 years of industry experience in a quantitative field.
• Experience with AI/ML technologies and AWS for data processing.
• Proficient in Python and related ML frameworks.

Responsibilities

• Collaborate with cross-functional teams to understand business problems.
• Design and deploy AI/ML solutions aligned with business goals.
• Translate model outcomes into business impact metrics.

Skills

Shell Scripting

Jupyter notebook/Lab

SQL

PySpark

AWS Cloud Services

Python

Machine Learning

Natural Language Processing

Deep Learning

Education

Master’s degree in a quantitative discipline

Tools

TensorFlow

PyTorch

NumPy

Scikit-Learn

Pandas

AWS EMR

Job description

J.P. Morgan is looking for a Sr. Associate Applied AI/ML Scientist to join the Payment Solutions team in New York. In this role, you will leverage AI and machine learning technologies to enhance payment solutions and drive business growth. Your work will involve designing scalable data processing pipelines and developing models that improve transaction integrity and customer experience.

The ideal candidate will hold a Master’s degree in a quantitative field and have expertise in Python, machine learning frameworks, and large-scale data processing, particularly in AWS environments.

This position commits to diversity and inclusion as core values in the workplace.