Shubham Indoliya — Business Development Executive
With over a year of experience in market-making equity options within the high-frequency trading (HFT) industry, I specialize in predictive modeling and financial market data analysis, applying these skills to develop and refine automated trading algorithms. With a graduate education in Financial Engineering from Haas School of Business and an undergraduate degree in Economics from IIT Kanpur, my academic training has been highly relevant to and has directly supported my professional work in Quantitative Trading. My skills include - Knowledge of Financial products and markets - Practical knowledge of Option Greeks - Financial market data analysis using Python - Data Structures and Algorithms - Linear Regression predictive modelling I'm currently looking to pivot myself for roles in Fintech or teams involving Fixed Income/Credit/Exotic Derivatives products
Stackforce AI infers this person is a Fintech professional with expertise in quantitative trading and automated algorithm development.
Location: Berkeley, California, United States
Experience: 1 yr 10 mos
Career Highlights
- Over a year of experience in high-frequency trading.
- Specializes in predictive modeling and financial market data analysis.
- Graduate education in Financial Engineering from a top business school.
Work Experience
Dodge & Cox
Trading Strategy Associate (5 mos)
Dolat Capital
Quantitative Analyst (1 yr 2 mos)
Oneirix Labs
Research Intern (3 mos)
Education
Master's degree at University of California, Berkeley, Haas School of Business
Bachelor of Science - BS at Indian Institute of Technology, Kanpur
Intermediate at Anand Vidya Mandir, Bharatpur
High school at St. Peters School, Bharatpur
