What Do Quants Do?

🔍 What Do Quants Do?

1. Quantitative Traders

• What they do: Develop and execute trading strategies based on mathematical models.

• Tools: Python, C++, MATLAB, R; backtesting systems; statistical arbitrage; machine learning.

• Goal: Profit from small inefficiencies or patterns in market data—often at high speed and large volume.

2. Quantitative Researchers

• What they do: Research and test hypotheses to build predictive models.

• Focus: Time-series analysis, factor models, mean reversion, momentum, volatility modeling.

• Goal: Develop statistically robust models that can be used in trading or risk management.

3. Risk Quants

• What they do: Build models to estimate financial risk (market, credit, operational).

• Examples: Value-at-Risk (VaR), stress testing, exposure modeling.

• Goal: Help institutions manage capital efficiently and comply with regulations.

4. Quant Developers

• What they do: Build and maintain the infrastructure and codebases quants rely on.

• Skills: Strong programming ability, especially in performance-focused languages like C++.

• Goal: Ensure models run fast and reliably in real-world systems (e.g., live trading platforms).

🏢 Where Do Quants Work?

• Hedge funds (e.g., Renaissance Technologies, Two Sigma)

• Investment banks (e.g., Goldman Sachs, JPMorgan)

• Proprietary trading firms (e.g., Jane Street, Citadel Securities)

• Asset managers and fintech companies

⚙️ Core Skills of a Quant:

🤔 How Are Quants Different From Discretionary Traders?