Nikhil Kumar, PhD — AI Researcher
Quantitative Researcher | Data Scientist | Risk Management Specialist As a data scientist who has evolved into a quantitative researcher, I bring a deep understanding of upstream, downstream, and trading environments, coupled with expertise in advanced quantitative methodologies and machine learning . Core Focus Areas: - Quantitative Risk Management - Machine Learning - Commodities Trading Risk Management Specialized Skills: - Value at Risk (VaR) estimation | SPAN models | Stress tests | Derivative pricing - Time Series Analysis: Skilled in modeling and forecasting financial data using structural time series models, and deep learning. - Natural Language Processing (NLP): text summarization, sentiment analysis, incident tracking and forecasting news impact on market volatility. Quantitative Techniques: - Statistical Modeling and Forecasting - Derivatives Pricing and Hedging - Stress Testing and Scenario Analysis Areas of Interest: - Derivative pricing models and Financial engineering - Structural time series analysis - Deep learning for quantitative analysis
Stackforce AI infers this person is a Fintech expert specializing in quantitative analysis and machine learning.
Location: Mumbai, Maharashtra, India
Experience: 8 yrs 6 mos
Career Highlights
- Expert in quantitative risk management and machine learning.
- Proficient in derivatives pricing and stress testing.
- Strong background in natural language processing applications.
Work Experience
Applied Computing
Machine Learning Engineer (4 mos)
Trafigura
Senior Data Scientist (3 yrs 8 mos)
Data Scientist (2 yrs 8 mos)
Shell
Machine Learning Specialist (1 yr 9 mos)
Education
Doctor of Philosophy - PhD at Eindhoven University of Technology
Integrated BS-MS program at careers for youth in Punjab