Shailesh Kakkar — Co-Founder
Shailesh is a Director, Equity Quantitative Strategist at Scotiabank, where he researches and develops innovative solutions for algorithmic trading, liquidity provision, and market impact optimization via leveraging his expertise in quantitative finance, market-microstructure, machine learning, statistics, and programming. With a Master of Technology in Mathematics and Computer Science from the Indian Institute of Technology, Delhi, and a Master's degree in Finance from the Illinois Institute of Technology, Shailesh has a strong academic background and a passion for applying advanced mathematical and computational techniques to solve real-world problems. He has also completed multiple online courses on machine learning, deep learning, and reinforcement learning, demonstrating his continuous learning and curiosity. He has a proven track record of delivering impactful results, and Shailesh's core technical skills include Python, R, KDB and SQL.
Stackforce AI infers this person is a Quantitative Finance expert with a focus on algorithmic trading and market optimization.
Location: Bali, Indonesia
Experience: 10 yrs 7 mos
Skills
- Quantitative Finance
- Algorithmic Trading
- Quantitative Research
Career Highlights
- Expert in quantitative finance and algorithmic trading.
- Strong academic background from IIT Delhi and Illinois Institute of Technology.
- Continuous learner with multiple online courses in machine learning.
Work Experience
Career Break
Travel (2 yrs 2 mos)
Scotiabank
Director, Equity Quantitative Strategist (1 yr 10 mos)
Jefferies
Vice President, Electronic Trading (3 yrs 8 mos)
Self Employed
Independent Trader (1 yr 10 mos)
Zacks Investment Management
Quantitative Researcher (1 yr 1 mo)
Efficient Capital Management
Quantitative Research Intern (6 mos)
Education
Graduate Certificate at Stanford University
Integrated Master of Technology (BTech + MTech) at Indian Institute of Technology, Delhi
Master's degree at Illinois Institute of Technology
