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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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The Quantitative Analytics role involves designing and implementing innovative analytics, automation, and machine learning solutions to improve productivity and enable self-service for business users. You will lead data science initiatives, develop large language model based solutions including prompt engineering, and manage generative AI risk and governance documentation. The core work focuses on supporting Regulatory Operations by identifying process improvements, enforcing data quality controls, and maintaining model governance. You will build automated workflows, perform exploratory data analysis, and create executive presentations to translate findings into actionable insights. Required technical skills include Python for machine learning and automation, SQL for ETL and database management, SAS for statistical analysis, and Alteryx for complex workflows. Additionally, you will utilize Tableau for dashboard development, Excel with VBA for reporting, and manage data across Teradata, Oracle, AWS, and Snowflake platforms.
Python
C++
SQL
Monte Carlo Simulation
Time Series Analysis
Git
Risk Modeling
Quantitative Finance
Statistical Inference
Linear Algebra
Probability Theory
relational database s
Portfolio Analytics