Quantitative Trader
Job Description
### About this role
As a Quantitative Trader at Bayse, you will be responsible for trading strategy execution, market making, and liquidity performance across our prediction markets. You will work on pricing, spreads, inventory/risk management, execution logic, and market behavior, helping ensure our markets are liquid, efficient, and reliable.
This is a high-impact role at the core of a trading product. You will be hands-on with live market data, deeply analytical, and comfortable making fast, high-quality decisions under uncertainty. You will also work closely with product and engineering to improve trading infrastructure, execution quality, and market performance over time.
### Key Responsibilities
– **Market making and liquidity execution:** Run and improve trading and market making strategies across prediction markets, with a focus on spreads, depth, fill quality, and continuous liquidity.
– **Pricing and quote management:** Develop and refine pricing logic and quoting behavior based on market probabilities, volatility, inventory, and event-driven information.
– **Risk and inventory management:** Manage exposure across markets, monitor inventory risk, and adjust strategies to maintain healthy risk limits and capital efficiency.
– **Execution and performance optimization:** Monitor execution quality, slippage, adverse selection, and quote performance, and continuously improve strategy performance.
– **Market monitoring and response:** Track live market activity, identify inefficiencies or abnormal behavior, and respond quickly to protect market quality and trading performance.
– **Strategy research and improvement:** Backtest and evaluate new trading ideas, execution logic, and parameter changes, and deploy improvements based on data.
– **Trading analytics and reporting:** Build and maintain dashboards for P&L, spread capture, fill rates, inventory, exposure, and market quality metrics.
– **Collaboration with product and engineering:** Work with product and engineering to improve trading tools, market infrastructure, monitoring systems, and execution workflows.
– **Integrity and anomaly detection:** Help identify manipulation patterns, suspicious activity, or market behavior that may distort pricing or execution.
– **Documentation and playbooks:** Document strategy logic, trading rules, risk limits, and operational procedures to ensure consistency and reliability.
### About You
– 2+ years experience in a quantitative trading, market making, or trading-focused quantitative role, ideally in fintech, exchanges, sports/crypto markets, or other market-driven products.
– Strong understanding of market microstructure, execution quality, spreads, inventory risk, and trading performance metrics.
– Strong quantitative and analytical skills, with the ability to make data-driven decisions in fast-moving environments.
– Strong SQL skills and fluency in Python (pandas, numpy, notebooks). Experience with backtesting or simulation is a strong plus.
– Comfortable working with real-time or high-frequency data, monitoring live systems, and reacting quickly when needed.
– Strong understanding of probability, expected value, and risk/reward tradeoffs.
– High ownership and high agency. You can operate independently, make sound decisions, and improve systems over time.
– Knowledge of prediction markets, market making, AMMs, order books, or trading products is strongly preferred.
– Experience with automation, trading bots, or execution tooling is a plus.
– Clear communicator who can explain trading logic and performance to technical and non-technical stakeholders.
## How to Apply
Send a short pitch to **build@bayse.markets** with your resume and any relevant materials (GitHub, research, dashboards, case studies). Use the subject line:
**“Quantitative Trader – Lagos”**
We will reach out if your application is a strong fit.