J.P. Morgan Payments is looking to utilize artificial intelligence and machine learning technologies to augment its services, stimulate business expansion, and tackle complex challenges at every stage of the payment lifecycle.
Requirements
- Master’s degree in a quantitative discipline (e.g., Computer Science, Data Science, Mathematics/Statistics, or Operations Research) with a minimum of 6 years of industry experience.
- Experience with Shell Scripting, Jupyter notebook/Lab, SQL, PySpark, and AWS Cloud Services is required.
- 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).
- 6+ years of extensive experience working in ML domains like Fraud prevention, Trust and Safety, Ads, Recommender systems with hands on experience working with both numerical and textual or image data.
- Solid Understanding and past experience applying ML models including decision trees, random forests, neural networks, graph models and Large Language Models (LLMs).
- Proficient in both basic and advanced exploratory data analysis (EDA), with an understanding of the limitations and implications of different methodologies.
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.
Other
- Master’s degree in a quantitative discipline
- 6 years of industry experience
- Ability to set the analytical direction for projects, transforming vague business questions into structured analytical plans.
- Strong cognitive and communication skills, characterized by clear and articulate expression.
- Ability to identify core issues, bring order to chaos, synthesize insights, and drive decisive outcomes.
