Quantitative Trading & Execution Engineer

Design, build, and optimize automated execution and hedging systems operating across crypto exchanges and liquidity venues.

Develop execution algorithms, netting mechanisms, and dynamic hedging strategies to efficiently manage trade flow and market exposure.

Build systems to manage, rebalance, and risk-manage inventory positions resulting from trading and execution activity.

Own the full lifecycle: from quantitative research, backtesting, and simulation to implementation, deployment, monitoring, and live performance tuning.

Analyze market microstructure, order book dynamics, execution quality, slippage, and trading performance to identify opportunities and continuously improve strategies.

Build high-throughput, low-latency trading systems using Go for core execution services and Python for research, analysis, and strategy development.

Make pragmatic architectural and quantitative decisions, balancing execution quality, latency, risk, reliability, and trading costs.

Continuously improve live trading systems with a focus on performance, observability, resiliency, and operational excellence.

Strong fundamentals in computer science, algorithms, data structures, and quantitative problem solving.

Hands-on experience building quantitative trading, algorithmic trading, execution, or HFT systems.

Strong understanding of market microstructure, order books, execution, slippage, and liquidity.

Experience with execution algorithms, netting, dynamic or delta hedging, and inventory management.

Deep understanding of crypto market structure and exchange mechanics, including REST/WebSocket APIs and real-time market data.

Strong experience with Go (Golang) for concurrent, high-throughput, performance-sensitive systems.

Proficiency in Python for research, data analysis, backtesting, simulation, and strategy prototyping.

Ability to go beyond implementation: challenge assumptions, translate market behavior into quantitative hypotheses, and continuously improve execution and hedging strategies.

Experience building and operating resilient, production-grade systems in 24/7 real-time markets.

Familiarity with distributed systems, event-driven architectures, queueing systems, and modern cloud environments is a strong plus.

A mindset of ownership and accountability — you care about execution quality, risk, and live trading performance, not just the code.