Algorithmic Trading Engineer

About the position

Quantix is seeking an Algorithmic Trading Engineer to develop and maintain the trading systems that power our systematic strategies. You will work at the intersection of engineering, quantitative research, and real-time execution — designing low-latency infrastructure, integrating predictive signals, and ensuring strategies operate efficiently across exchanges. This role is ideal for someone who loves markets, data, and building fast, reliable systems at scale.

Job responsibilities

• Build, maintain, and optimize algorithmic trading systems used for automated execution across global digital asset venues.
• Integrate quantitative signals, risk constraints, and model outputs into real-time trading engines.
• Develop low-latency order routing, execution logic, and performance-optimized trading workflows.
• Monitor live trading systems, resolve issues quickly, and ensure high reliability and uptime.
• Collaborate with quantitative researchers to prototype, test, and deploy new strategies.
• Analyze execution metrics (slippage, fill rates, latency, order book interactions) and implement improvements.
• Build tools for backtesting, simulation, and post-trade analytics.
• Ensure robust risk controls, fail-safes, and safety checks across all strategy components.
• Automate operational tasks to streamline the entire trading lifecycle.

Required skills

• Strong experience with Python, and familiarity with performant languages (C++/Rust/Go is a plus).
• Understanding of algorithmic trading, market microstructure, and execution mechanics.
• Experience building real-time systems, event-driven architectures, or streaming pipelines.
• Familiarity with exchange APIs, WebSockets, REST, FIX, or low-latency connectivity.
• Ability to diagnose performance bottlenecks and optimize code for speed and reliability.
• Knowledge of backtesting frameworks, simulation tools, or strategy evaluation techniques.
• Comfortable working with large datasets, order book data, and market-quality analytics.
• Strong debugging skills and the ability to operate calmly during live-market conditions.
• Bonus: experience with crypto exchanges, high-frequency environments, or co-location setups.

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