Career Tracks

Explore the three core disciplines of quantitative finance and how we prepare you for them.

Quantitative Developer

Quant Devs build the lightning-fast infrastructure that executes trades in microseconds. They write low-latency C++ code, design massive data pipelines, and optimize systems to handle terabytes of market data.

Key Skills:

  • C++ / Systems Programming
  • Low-Latency Design
  • Distributed Systems (Kafka, Spark)
  • Python (Data Engineering)

Quantitative Trader

Quant Traders manage the execution of strategies, monitor risk in real-time, and identify short-term market inefficiencies. They rely on probability, game theory, and quick mental math to outmaneuver the market.

Key Skills:

  • Mental Math / Probability
  • Game Theory / Strategy
  • Market Microstructure
  • Risk Management

Quantitative Researcher

Quant Researchers are the scientists of the market. They use advanced statistics, machine learning, and immense datasets to discover "Alpha"—the hidden predictive signals that dictate future market movement.

Key Skills:

  • Applied Statistics
  • Machine Learning / Time Series Analysis
  • Python (Pandas, NumPy, PyTorch)
  • Stochastic Calculus