Waitlist Open: April 21st Cohort

April 2026
Quant+AI Masterclass

A 2-month, elite-level program designed to take you from foundation to professional-grade algorithmic deployment.

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Masterclass Roadmap

8 Weeks of Elite Transformation

Python For Finance Track

01 Week 1

FOUNDATION

  • Pandas & NumPy for Finance
  • Time-Series Data Management
  • Quantitative Math Essentials
  • Object-Oriented Trading Systems
02 Week 2

Python & AI for Asset Management

  • Mean-Variance & Black-Litterman
  • Statistical Factor Models
  • Value-at-Risk (VaR) & CVaR
  • Risk Budgeting & Attribution
03 Week 3

Python & AI for Algorithmic Trading

  • Vectorized & Event-Driven Backtesting
  • Connectors: Interactive Brokers & OANDA
  • Real-time Execution & Monitoring
  • Dockerized Cloud Deployment
04 Week 4

Python for Options / Derivative Trading

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

The AI Track

05 Week 5

Data Science Basics

  • Financial Data Wrangling
  • Multi-Asset Correlation Analysis
  • Interactive Financial Dashboards
06 Week 6

Deep Learning with PyTorch

  • LSTMs & GRUs for Sequence Data
  • Convolutional Nets for Chart Patterns
  • Autoencoders for Anomaly Detection
07 Week 7

Reinforcement Learning

  • Q-Learning & Policy Gradients
  • Gym-Finance Environments
  • Adaptive Hedging Strategies
08 Week 8

Natural Language Processing

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

Who Should Attend

Computer Science & AI

Software engineers looking to pivot into low-latency trading and financial systems.

Mathematical Sciences

Statistics and Math majors wanting to apply theory to live market microstructure.

Financial Engineering

Finance professionals aiming to automate alpha generation and risk management.

Quantitative Physics

Engineering and Physics students transitioning to quantitative research roles.

Career Opportunities

Graduates of the Masterclass are positioned for high-impact roles across the global financial landscape, gaining the exact technical stack required by:

Hedge Funds

Multi-strategy & Quant Funds

Prop Trading

HFT & Market Makers

Asset Management

Systematic Portfolio Mgmt

Quant Research

FinTech & Data Labs

8 Weeks Intensive

Systematic progression from Python basics to advanced Reinforcement Learning and live execution.

Institutional Stack

Master the exact tools used by hedge funds: Python, Docker, AWS, and Interactive Brokers API.

Community Access

Direct mentorship and peer strategy reviews in our private Discord trading floor.

Apply Now April 21st Cohort