Applied AI/ML Senior Associate - Payments

As part of the 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 a Sr.

Associate Applied AI/ML Scientist within our Payment Solutions team, you will be instrumental in utilizing artificial intelligence and machine learning technologies to augment our payment solutions and stimulate business expansion.

Your role will involve researching, experimenting, developing, and transitioning high-quality machine learning models, services, and platforms into production to streamline payment processes, bolster fraud detection, and enrich customer experience.

You will also be tasked with designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes.

Working in collaboration with cross-functional teams, you will identify opportunities for AI/ML applications within the payments ecosystem.

Job Responsibilities:


* Actively collaborate with Product, Technology, and other cross-functional teams to gain a deep understanding of complex business problems and formulate data-driven solutions to address these challenges in key areas of the payments' domain.


* Design, develop, and deploy machine learning and AI solutions that meet success metrics aligned with business goals, while considering constraints such as model complexity, scalability, and latency.


* Partner with Risk and Compliance teams to ensure comprehensive model documentation, track performance metrics, and maintain adherence to regulatory compliance standards.


* Translate model outcomes into business impact metrics and communicate complex concepts to senior management and stakeholders.

Required qualifications, capabilities, and skills:


* Master's degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 3 years of industry experience.


* Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.


* 2+ years of hands-on experience with large-scale data processing on AWS EMR, building robust batched feature stores (offline/online pipelines, schema governance, backfills, reproducibility), and orchestrating SageMaker training, pipelines, and model registry for production ML.


* Proficient in Python with hands-on experience in Machine learning and Deep learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., NumPy, Scikit-Learn, Pandas).

Experience...