Algorithmic Trader / Quantitative Trader
Summary
Designs, tests, and deploys automated trading strategies for crypto, forex, and commodities using C++/Python and low-latency infrastructure.
Role
Research, design, and deploy new algorithmic trading strategies for digital assets, forex, or commodities markets
Take full responsibility for the strategy lifecycle, from idea generation and research to simulation and live production
Iterate on strategy behavior and performance in live markets
Build a deep understanding of market microstructure through hands-on production trading
Program Structure
Designed for experienced traders with an existing strategy or experienced researchers who have not yet scaled a fully independent strategy
Provides a structured path toward independent strategy ownership and progression to Trading Pod Lead
Includes training, technical review, and ongoing advisory support from senior traders and system owners
We Provide
In-house data, simulation, and low-latency trading platforms
Proprietary trading infrastructure and internal capital
Direct market access to global exchanges with institutional connectivity
Training, mentorship, and advisory support from senior traders
Master or Ph.D. degree in STEM (Science, Technology, Engineering, and Mathematics)
Prior work experience in high frequency trading firms or hedge funds
Prior experience developing or operating fully automated quantitative trading strategies
C++ / Python experience
Solid understanding of market microstructure and execution
High-ownership, self-directed, systems-oriented mindset