Arun Aggarwal — Co-Founder
Quant Portfolio Trader in multiple asset classes- Equities, Currencies and Commodities. I am well acquainted with Portfolio Asset management , Risk Minimization and Non Traditional Optimization techniques-Genetic Algorithms, and Data Science techniques such as Statistics, Data Analysis , Machine Learning, Clustering and with their related methods. Specialties: Stochastic Differential Equations, Developing Automated Decision Making Trading Systems- Not Highly Dependent on Low Latency-price & time, Automated Trade Execution Algorithms, Portfolio Construction of Correlated & Uncorrelated Assets, Volatility & Delta Hedged based Trading Models, Counter Trend Systems, Multiple Risk Measures in Portfolio-Sharpe Index, Volatility Index, Monte Carlo Simulations, Value at Risk of linear & Non-linear Payoff Portfolios.
Stackforce AI infers this person is a Quantitative Finance expert with a focus on algorithmic trading and data-driven decision making.
Location: Gurgaon, Haryana, India
Experience: 19 yrs 9 mos
Skills
- Quantitative Trading
- Portfolio Management
- Data Science
Career Highlights
- Expert in developing automated trading systems.
- Strong background in quantitative finance and risk management.
- Proven track record in optimizing trading portfolios.
Work Experience
AlgoBot TechFinEdu
Director (6 yrs 8 mos)
AlfaStox
Director- Quantitative Research & Trading (7 yrs 11 mos)
Indian Broking Firm
Quant Consultant (11 mos)
HFT Firm
Vice President Quantitative Research & Trading (1 yr 2 mos)
Indian Statistical Instiute, Kolkata
Machine Intelligence and Soft Computing (Three Months Certificate Course) (3 mos)
Hedge Fund
Senior Research Analyst (9 yrs 8 mos)
Education
Master at Indian Institute of Technology, Delhi
Research Student at Delhi University
Executive Programme in Financial Risk and Investment Management (EPFRIM) at Indian Institute of Management, Calcutta
BSc(H) Mathematics at Hansraj College, Delhi University