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STA

Quantitative Trader

Extreme Demand$120K – $400K+ (+ profit share)
Quantitative Traders combine market intuition with systematic execution. Unlike discretionary traders who rely on gut feeling, quant traders build and operate algorithmic systems that make data-driven trading decisions. They understand both the math behind the models and the practical realities of execution — slippage, market impact, and broker limitations. This is the role where research meets reality. You need to understand why a model works, how to deploy it in production, and when to pull the plug if conditions change. FTMO-style prop firms have created a massive demand for traders who can pass challenges using systematic approaches.
8
Core Skills
7
Key Tools
10
Lessons
5
Career Stages

A Day in the Life

You wake up at 6am to check your overnight positions. The V7 Engine flagged two new signals during the Asian session — both passed L1 and L2 gates. You verify the risk allocation (0.30% per trade, NORMAL zone) and confirm execution. By market open, you're monitoring the dashboard for regime changes. The Hurst indicator shifts below 0.45 on EURUSD — the engine automatically tightens exit giveback from 35% to 25%. You end the day +2.3R with a 65% win rate for the week.

Core Skills

1
Systematic Strategy Development
2
Risk Management
3
Position Sizing
4
Portfolio Construction
5
Execution Algorithms
6
Drawdown Management
7
FTMO Compliance
8
Live Trading Operations

Tools & Technologies

MetaTrader 5PythonpandasXGBoostLSTM NetworksDockerAWS/GCP

Prerequisites

Basic Trading Knowledge
Python Basics
Understanding of Risk
MT4/MT5 Familiarity

Career Progression

Junior Quant Trader
Quant Trader
Senior Trader
Portfolio Manager
Fund Manager

Curriculum

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