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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 Market Risk Time Series Analytics - Analyst/Associate within the Risk Management and Compliance team, you will develop and implement analytics and infrastructure for VaR time series. You will build robust frameworks for market data time series and Average Daily Trading Volume across multiple asset classes while researching next-generation outlier detection and missing data imputation tools. Your daily work involves industrializing production processes, creating APIs for data management, and developing front-end applications to deliver end-to-end solutions. You will utilize Python, Numpy, Pandas, and advanced Excel to analyze large, unstructured datasets and perform statistical tests. Additionally, you will design prompts for AI/LLM systems and implement LLM analytics via MCP tool integrations. The role addresses the technical challenge of assessing market data quality and managing risk metrics like historical simulation and Monte Carlo simulations.
SQL
Tableau
Qlik Sense
Data Modeling
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ThoughtSpot
Databricks
Data Quality
Reporting
Analytics
Risk Management
Data Engineering
Dimensional Modeling
Data Mesh