Quantitative Trader
✨ AI Summary
As a Quantitative Trader at Bayse, you will focus on executing trading strategies, market making, and enhancing liquidity within our prediction markets. Your work will involve pricing, managing inventory and risk, optimizing execution tactics, and analyzing market behavior to maintain an efficient and reliable trading environment. This pivotal role requires you to engage deeply with live market data and make quick, informed decisions amid uncertainty. You will also collaborate with product and engineering teams to refine trading infrastructure and improve overall market performance.
Main Responsibilities
- Market Making and Liquidity: Enhance trading strategies for optimal spreads, depth, and continuous liquidity.
- Pricing Logic: Develop pricing mechanisms based on market data, volatility, and event-driven factors.
- Risk Management: Oversee market exposure and adjust strategies to ensure risk limits and capital efficiency.
- Performance Optimization: Evaluate execution quality and continuously refine strategies for better outcomes.
- Market Monitoring: Analyze live market activities to identify and address inefficiencies promptly.
- Strategy Development: Backtest and implement new trading strategies and improvements based on analysis.
- Analytics and Reporting: Create dashboards to track key metrics like P&L, fill rates, and market quality.
- Collaboration: Work with product and engineering teams to enhance trading tools and systems.
- Integrity Checks: Detect and report any manipulative practices affecting market integrity.
- Documentation: Maintain clear records of trading rules and procedures for consistency.
Requirements
- Minimum 2 years of experience in quantitative trading or related roles.
- Deep understanding of market microstructure and trading performance metrics.
- Proficient in SQL and Python, with backtesting experience preferred.
- Ability to work with real-time data and make quick decisions.
- Strong grasp of probability and risk/reward assessments.
- Self-motivated and capable of operating independently.
- Familiarity with prediction markets and trading automation is a plus.
- Effective communicator with the ability to convey complex concepts.
