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About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
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As a Risk Program Senior Associate within the Chase Consumer Bank, you will serve as an analytical expert focused on identifying and retooling machine learning algorithms to enhance fraud risk ranking for transactions and new product applications. Your daily responsibilities involve performing critical tasks such as feature engineering, feature selection, and developing and training models to extract predictive patterns from massive datasets. You will collaborate with business teams to gather requirements and provide guidance on utilizing machine learning solutions while sharing domain expertise across the firm. The role requires proficiency in Python for data analysis and experience with techniques including CNN, RNN, SVM, Reinforcement Learning, and Random Forest or GBM. Preferred skills include designing models in big data environments using Hadoop, Spark, Hive, Keras, and TensorFlow on GPU-accelerated hardware to mitigate fraud loss.
AI/ML
LLM
Generative AI
Python
R
Neural Networks
Regression
Reinforcement Learning
Recommender Systems
Transformers
Prompt Engineering
RAG
Agentic AI
Statistics
Econometrics
Model Validation
Risk Management
Model Governance
Python
AWS
Machine Learning
NLP
Generative AI
H2O
Spark
Conda
SQL
Scala
R
Deep Learning
Time Series
Sentiment Analysis
Clustering
Classification
Big Data
Statistical Modeling