Akash Dinesh Shah
Vice President - Quant Modeling Lead @JPMorganChase
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WORK HISTORY
Vice President - Quant Modeling Lead @JPMorganChase
Jersey City, NJ, US
EDUCATION
University of Mumbai
Bachelor of Engineering (B.E.), Computer Science
University of North Carolina at Charlotte
Master’s Degree, Mathematical Finance & Financial Data Analytics
SKILLS
ABOUT AKASH DINESH SHAH
A motivated and versatile professional with adaptive and innovative analytical mindset and 8+ years of experience in Product Strategy & Financial Analytics, Model Risk Management, Model Validation, Financial Data Analytics, Business Intelligence and Project Management. I have a Masters degree in Mathematical Finance with a specialization in Financial Data Analytics from University of North Carolina at Charlotte.I have a Bachelors degree in Computer Science Engineering from University of Mumbai.I have done certifications in the field of Finance & Analytics that provided in depth knowledge of subjects like Markets & Financial Instruments, Derivatives, Financial Statement Analysis, Fixed Income Securities, Financial Analysis & Valuation, Modern Portfolio theory, Valuation of Derivatives & Investment Management. My plans include working in a reputed company, where I can put my abilities against the best minds in the industry. I desire to delve into this practice and deliver technology-driven business solutions for organizations focused on existing and new product growth, pricing & economics and risk-return dynamics. My key strengths are;Programming Languages: SQL, Python 2.x/3.x, SAS 9.x, SAS UNIXStatistical/Visualization Tools: SAS Enterprise-Miner, SAS Enterprise Guide, Tableau 10.x, Excel, Microsoft Power BIAnalytical Skills: Statistical Analysis, AI / ML Modelling Methodologies, XGBoost, Doubly Robust Estimation, Causal Inference (Outcomes Regression, Inverse Propensity Weighting), Uplift Modelling, Linear Regression, Logistic Regression, Decision Tree, Clustering, Neural Networks, Text Mining, Sentiment Analysis, Hypothesis Testing, ANOVA, Time Series Forecasting, Principal Component Analysis Database: Hive, Pig, Impala, MS SQL Server, MySQL, Oracle 11g
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