Q
QUANTBOTS.CO

Quant + AI
Masterclass

April 2026 Cohort

8 Weeks of Elite Transformation

8-Week Curriculum Roadmap

Python For Finance Track

01

FOUNDATION

Week 1

Pandas & NumPy for Finance, Time-Series Data Management, Quantitative Math Essentials, Object-Oriented Trading Systems

02

Asset Management

Week 2

Mean-Variance & Black-Litterman, Statistical Factor Models, Value-at-Risk (VaR) & CVaR, Risk Budgeting & Attribution

03

Algorithmic Trading

Week 3

Vectorized & Event-Driven Backtesting, Connectors: Interactive Brokers & OANDA, Real-time Execution & Monitoring, Dockerized Cloud Deployment

04

Options Trading

Week 4

Black-Scholes & Local Volatility, Greeks Analysis & Delta Hedging, Monte Carlo for Exotic Options, Stochastic Volatility Models

The AI Track

05

Data Science

Week 5

Financial Data Wrangling, Multi-Asset Correlation Analysis, Interactive Financial Dashboards

06

Deep Learning

Week 6

LSTMs & GRUs for Sequence Data, Convolutional Nets for Chart Patterns, Autoencoders for Anomaly Detection

07

Reinforcement Learning

Week 7

Q-Learning & Policy Gradients, Gym-Finance Environments, Adaptive Hedging Strategies

08

NLP & LLMs

Week 8

BERT & FinBERT for Sentiment, Named Entity Recognition (NER), LLM Agents for Research

Ready to Transform?

Join the next cohort of quantitative traders and master the elite tech stack used by institutional funds.

Join Waitlist
quantbots.co/masterclass

Scan to Apply

Q
QUANTBOTS.CO

Quant + AI
Masterclass

April 2026 Cohort

8 Weeks of Elite Transformation

Who Should Attend

  • CS & AI Engineers: Professionals pivoting to low-latency trading & financial engineering.
  • Math & Statistics: Academic researchers applying probability to complex market dynamics.
  • Finance Pros: Managers seeking to automate alpha generation & risk management.
  • Data Scientists: ML experts aiming to specialize in financial time-series modeling.

Career Outcomes

Hedge Funds

Quant Trader, Alpha Researcher

Prop Trading

HFT Dev, Systematic Trader

Investment Banks

Desk Quant, Execution Algo

FinTech & Labs

AI Architect, Data Scientist

Lead Trainer Profile

Amol Chawathe

Amol Chawathe

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

Ready to Transform?

Join the next cohort of quantitative traders and master the elite tech stack used by institutional funds.

Join Waitlist
quantbots.co/masterclass

Scan to Apply