JPMorgan Chase & Co. Quantitative Research Simulation: Commodity storage pricing, credit risk analysis & dynamic FICO score bucketing.
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Updated
Oct 16, 2026 - Python
JPMorgan Chase & Co. Quantitative Research Simulation: Commodity storage pricing, credit risk analysis & dynamic FICO score bucketing.
A comprehensive portfolio of quantitative modeling tasks ranging from commodity pricing mechanisms to credit risk assessment and algorithmic quantization.
Quantitative analytic toolkit covering natural gas pricing, storage valuation, loan default risk modeling, and credit rating bucketization, with reusable helpers & visual workflows for pricing and risk teams exploring energy and consumer credit data.
Publication-aware time-series frequency expansion for Python
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