
Description:
- Own the overall market quality metrics across all trading pairs (spot, derivatives, and web3)
- Monitor and maintain optimal bid-ask spreads and order book depth across all pairs in real-time
- Develop quantitative models to predict and prevent liquidity gaps or market dislocations
- Design and implement automated alerts and intervention mechanisms for spread widening or depth deterioration
- Establish dynamic spread and depth targets based on pair volatility, volume, and market conditions
- Conduct post-trade analysis to identify patterns in liquidity provision and consumption
- Build simulation frameworks to test market quality under various stress scenarios
- Collaborate with market makers to optimize their quoting strategies and improve fill rates
Quantitative Strategy Development:
- Design, backtest, and deploy algorithmic trading strategies across multiple venues:
- Spot Arbitrage: Cross-exchange price discrepancies and triangular arbitrage opportunities
- Futures Arbitrage: Cash-and-carry, basis trading, and inter-exchange futures arbitrage
- Web3 Arbitrage: DEX-CEX arbitrage, cross-chain opportunities, and DeFi yield optimization
- Develop statistical arbitrage and mean reversion strategies leveraging correlation patterns
- Build market-making algorithms to supplement external MM liquidity where needed
- Create hedging strategies to manage inventory risk and delta exposure
- Implement high-frequency trading strategies for sub-second execution opportunities
- Continuously optimize strategy parameters using machine learning and adaptive algorithms
- Monitor strategy P&L, Sharpe ratios, and risk metrics in real-time
- Develop risk management frameworks to control position limits and exposure
Infrastructure & Low-Latency Systems:
- Partner with Product and Engineering teams to design ultra-low-latency trading infrastructure
- Define technical requirements for market maker connectivity including:
- API performance standards (latency, throughput, reliability)
- WebSocket streaming architecture
- Order routing and matching engine specifications
- Lead the design of co-location and proximity hosting solutions for market makers
- Optimize tick-to-trade latency across the entire trading stack
- Conduct latency measurements and benchmarking against competitor exchanges
- Identify and eliminate bottlenecks in order processing, market data dissemination, and execution
- Design and review system architecture for data feeds, order management, and risk controls
- Establish monitoring and alerting systems for infrastructure performance
- Work with tech teams to implement smart order routing and execution algorithms
Research & Innovation:
- Stay abreast of developments in quantitative finance, market microstructure, and crypto markets
- Research emerging trading opportunities in DeFi protocols, and new token listings
- Evaluate and integrate new data sources (on-chain data, sentiment analysis, order flow analytics)
- Prototype new trading strategies and conduct rapid experimentation
- Build proprietary quantitative models for price prediction, volatility forecasting, and risk assessment
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