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JPMorgan Chase's Consumer and Community Banking (CCB) Risk Modeling teams are looking to build advanced solutions in areas such as credit decision, fraud detection, and loan loss reserve by leveraging cutting-edge research and machine learning techniques.

Requirements

• Knowledge of machine learning / data science theory, techniques and tools
• Knowledge and proficiency in Python
• Experience with modern machine learning tools such as PyTorch and XGBoost
• Experience with data tools such as Hadoop, PySpark and SQL
• Experience with Java, C++, C, Rust an additional bonus
• Knowledge in Reinforcement, Meta, Graph or Transfer learning
• Knowledge in newer deep learning architecture such as Transformer or Mamba

Responsibilities

• Explore cutting-edge research in partnership with leading academic institutions, applying the latest Machine Learning techniques or Data Science Theories to CCB’s unique data assets
• Collaborate with stakeholders to drive model-driven transformation across business
• Focus on Deep Learning, Reinforcement Learning, Natural Language Processing, Speech/Voice Analytics, Time Series, Computer Vision, Cryptography, and Interpretability, and Ethics and Fairness of AI
• Follow the protocol and procedures when dealing with sensitive data, and firm’s policy and guideline when interacting with control and governance bodies
• Work with other team members in a collaborative and inclusive manner

Other

• Enrolled in a Ph.D. or 2-year Master’s degree program in math, science, engineering, computer science or other quantitative fields with an expected graduation date of December 2026 through August 2027
• Excellent analytical, quantitative and problem-solving skills and demonstrated research ability
• Strong communication skills and the ability to present findings to a non-technical audience
• We will be filling our classes on a rolling basis. We strongly encourage you to submit your application as early as possible before job postings close.
• JPMorgan Chase is committed to creating an inclusive work environment that respects all people for their unique skills, backgrounds and professional experiences.