Come and join us in reshaping the future!

 

As a Summer Intern within the Consumer and Community Banking (CCB) Risk Modeling teams, you will build advanced solutions in areas such as credit decision, fraud detection, and loan loss reserve. Throughout the internship program, your professional growth and development will be nurtured through project work aligned with your academic and professional interests, mentorship, and engaging speaker series with senior leaders. Successful completion of the program may lead to full-time employment offers.

 

Job 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 assetsCollaborate with stakeholders to drive model-driven transformation across businessFocus on Deep Learning, Reinforcement Learning, Natural Language Processing, Speech/Voice Analytics, Time Series, Computer Vision, Cryptography, and Interpretability, and Ethics and Fairness of AIFollow the protocol and procedures when dealing with sensitive data, and firm’s policy and guideline when interacting with control and governance bodiesWork with other team members in a collaborative and inclusive manner

 

Required qualifications, capabilities and skills

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 2027Knowledge of machine learning / data science theory, techniques and toolsKnowledge and proficiency in PythonExcellent analytical, quantitative and problem-solving skills and demonstrated research abilityStrong communication skills and the ability to present findings to a non-technical audience

 

Preferred qualifications, capabilities and skills

Experience with modern machine learning tools such as PyTorch and XGBoost Experience with data tools such as Hadoop, PySpark and SQLExperience with Java, C++, C#, Rust an additional bonusKnowledge in Reinforcement, Meta, Graph or Transfer learningKnowledge in newer deep learning architecture such as Transformer or MambaKnowledge in advanced mathematics arising in financial modeling such as Probability Theory, Monte-Carlo Simulation, Markov Chain and Econometric Theories

 

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. We strive to hire qualified, diverse candidates, and we will provide reasonable accommodations for known disabilities.

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