J.P. Morgan is looking to utilize artificial intelligence and machine learning technologies to augment their payment 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).
- Experience with Jupyter Notebook/Lab is essential.
- 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).
- Cloud computing: Amazon Web Service, Azure, Docker, Kubernetes, DataBricks, Snowflakes.
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.
- Researching, experimenting, developing, and implementing high-quality machine learning models, services, and platforms to streamline payment processes, bolster fraud detection, and enrich customer experience.
- Designing and executing highly scalable and dependable data processing pipelines, conducting analysis, and deriving insights to boost and optimize business outcomes.
- Collaborating with cross-functional teams to pinpoint opportunities for AI/ML applications within the payments ecosystem.
Other
- 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.
- 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.
- We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
- We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.
