8 Weeks of Elite Transformation
Pandas & NumPy for Finance, Time-Series Data Management, Quantitative Math Essentials, Object-Oriented Trading Systems
Mean-Variance & Black-Litterman, Statistical Factor Models, Value-at-Risk (VaR) & CVaR, Risk Budgeting & Attribution
Vectorized & Event-Driven Backtesting, Connectors: Interactive Brokers & OANDA, Real-time Execution & Monitoring, Dockerized Cloud Deployment
Black-Scholes & Local Volatility, Greeks Analysis & Delta Hedging, Monte Carlo for Exotic Options, Stochastic Volatility Models
Financial Data Wrangling, Multi-Asset Correlation Analysis, Interactive Financial Dashboards
LSTMs & GRUs for Sequence Data, Convolutional Nets for Chart Patterns, Autoencoders for Anomaly Detection
Q-Learning & Policy Gradients, Gym-Finance Environments, Adaptive Hedging Strategies
BERT & FinBERT for Sentiment, Named Entity Recognition (NER), LLM Agents for Research
Join the next cohort of quantitative traders and master the elite tech stack used by institutional funds.
Scan to Apply
8 Weeks of Elite Transformation
Hedge Funds
Quant Trader, Alpha Researcher
Prop Trading
HFT Dev, Systematic Trader
Investment Banks
Desk Quant, Execution Algo
FinTech & Labs
AI Architect, Data Scientist
Amol Chawathe is the founder of Quantbots.co and a veteran full-stack developer with over 20 years of experience. Specializing in Django, Python, and algorithmic trading, Amol has a proven track record of building complex financial systems for institutional clients and retail traders alike.
His career includes leadership roles at global firms like IBM and Ogilvy, where he spearheaded large-scale technical initiatives and digital transformation projects. Today, he focuses on bridging the gap between advanced AI and quantitative trading, mentoring the next generation of quant developers through hands-on, industry-aligned training.
20+
Years Experience
500+
Students Mentored
50+
Systems Built
Join the next cohort of quantitative traders and master the elite tech stack used by institutional funds.
Scan to Apply