Quantitative Developer

This is a fully remote position, open to applicants in Turkey.

📋 Description

• Design, construct, and enhance automated execution and hedging systems across cryptocurrency exchanges and liquidity venues.

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

• Build, rebalance, and manage risk for inventory positions resulting from trading and execution activities.

• Oversee the complete lifecycle from quantitative research, backtesting, and simulation to implementation, deployment, monitoring, and live performance optimization.

• Analyze market microstructure, order book dynamics, execution quality, slippage, and overall trading performance.

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

• Make architectural and quantitative decisions that balance execution quality, latency, risk, reliability, and trading costs.

• Enhance live trading systems focusing on performance, observability, resilience, and operational excellence.

⛳️ Requirements

• Strong foundation in computer science, algorithms, data structures, and quantitative problem-solving.

• Practical experience in building quantitative trading, algorithmic trading, execution, or high-frequency trading systems.

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

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

• Profound knowledge of crypto market structure and exchange mechanics, including REST/WebSocket APIs and real-time market data.

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

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

• Ability to translate market behavior into quantitative hypotheses and enhance execution and hedging strategies.

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

• Familiarity with distributed systems, event-driven architectures, queueing systems, and modern cloud environments is highly advantageous.

• Experience managing products from conception to production monitoring.

• Proven track record in managing live incidents, drafting post-mortems, and implementing long-term solutions.

🏝️ Benefits

• $80M Series B funding.

• Complete ownership and end-to-end responsibility.

• Product-focused work that has a direct impact on users.

• Opportunity to engage with high-throughput, low-latency trading systems.

• Exposure to quantitative research, backtesting, simulation, deployment, monitoring, and live performance tuning.