Quantitative Trading Engineer (Rust)

Overview

We seek a Quantitative Trading Engineer to develop and sustain automated trading platforms focused on cryptocurrency derivatives. Based in Hong Kong, this role involves collaborating with traders, quantitative analysts, and infrastructure teams to enhance strategies related to quoting, execution, hedging, risk controls, and overall system dependability. The candidate will focus on converting trading concepts into resilient, production-ready solutions while refining execution precision, system robustness, and operational efficiency.

Key Responsibilities

• Create and maintain automated trading systems for cryptocurrecy derivatives markets.
• Design and code logic for quoting, hedging, managing positions, and risk mitigation.
• Enhance the entire trading pipeline including order management, execution monitoring, cancellation handling, and recovery from anomalies.
• Handle real-time streams encompassing market data, order book updates, trades, funding rates, and other trading-related feeds.
• Develop and sustain monitoring tools tracking profit and loss, holdings, risk exposure, latency, and exchange connectivity.
• Work closely with traders and quants to evaluate trading metrics and fine-tune system performance.
• Maintain robust connections to exchanges to ensure uninterrupted market data access, order placement, and trade recording.
• Diagnose and resolve irregularities, system issues, discrepancies in positions, and risk-related concerns.

Required Qualifications

• Proficiency in Rust programming.
• Experience developing automated trading, market making, or quantitative trading platforms.
• Comprehensive knowledge of electronic trading mechanisms such as order books, bid-ask spreads, slippage, fees, order life cycle, cancellations, executions, and position management.
• Familiarity with cryptocurrency markets including perpetual futures, funding rates, margin trading, and leverage concepts.
• Ability to deliver clean, maintainable, and reliable production-level code.
• Strong diagnostics and troubleshooting skills within live trading environments.
• A genuine interest in financial markets and automated strategy execution, combined with curiosity about trading returns and performance optimization.
• Self-driven, detail-focused, and capable of performing well under fast-paced conditions.

Preferred Skills and Experience

• Background in crypto market making, high-frequency or proprietary trading, and quantitative strategies.
• Knowledge of exchange APIs such as Binance, OKX, Bybit, Deribit, or Coinbase.
• Experience optimizing or developing low-latency trading systems.
• Insight into basis trading, statistical arbitrage, cross-exchange strategies, hedging, and real-time risk management.
• Familiarity with backtesting systems, trading simulators, market data analytics, and quantitative research tools.