Are you the one who wants to bring in innovative ideas, and help us reshape the future of the application of Artificial Intelligence and Machine Learning (AI/ML) at JPMorgan Chase? 

As an AI/ML Lead of this newly formed team within Consumer and Community Banking Risk Fraud Modeling, you will be tasked to lead and leverage cutting-edge technology to reimage how we should develop the next generation of fraud detection and generative models that would help our business partners identify emerging fraud patterns and enhance our capabilities against them. You will also be part of the decision process to define the scope of work that will have impact across various lines of business.

 

Job Responsibilities

Lead a team of data scientists to develop AI/ML capabilities that can help identify emerging fraud risk vector and enhance our capability to defend against it Collaborate with stakeholders to scope the project, collect business requirements and provide guidance on leveraging machine learning solutions Work with technology partners on the design and architecture of the solution to meet business demand Follow the protocol and procedures when dealing with sensitive data, and firm’s policy and guideline when interacting with control, governance and regulatory bodies Coach junior team members and ensure a diverse and inclusive culture

Required qualifications, capabilities and skills -

Graduate degree in Computer Science, Electrical Engineering, Mathematics, Statistics, Operations Research, Physics, and other related quantitative fields 3+ years’ experience with developing and deploying neural network models (deep learning, reinforcement learning, etc.) using PyTorch or TensorFlow 1+ years’ experience with fine tuning pre-trained generative AI models (Stable Diffusion, Flux, or LLMs, etc.) Highly proficient in general programming language such as Python and its ecosystem Hands on experience with typical development toolchain such as IDE (VS Code, IntelliJ, etc.), version control system (Git), and Cloud development environment (AWS, etc.) Strong analytical experience in explorative data analysis and desire to drive business impact, a good communicator and a good listener Strong interest in keeping up with the current technology advancement and ability to disseminate the knowledge with the team

Preferred qualifications, capabilities and skills -

Experience with research in generative AI models Experience with managing a team Familiarity with structured database and languages such as SQL, Spark; graph database and language such as GSQL, etc.