Live-Event Quant Trader: Data-Driven Market Maker

Selby Jennings; Miami (FL); On-site; USD 158,000 - 193,000; Full time

Job summary

Selby Jennings partners with a Miami-based founder who is building a proprietary trading business focused on live events markets. You will have direct exposure to idea generation, position management, and capital allocation, influencing trading performance from day one.

The role involves developing semi-automated algorithms for concerts, sports, and other live events and leveraging diverse datasets such as ticket market data, streaming trends, and social metrics to drive research and execution.

Qualifications

• Experience managing risk and making investment decisions.
• Strong analytical skills with experience using data to drive investment decisions.
• Entrepreneurial mindset with willingness to operate in a small, high-impact team environment.
• Demonstrated ability to identify opportunities with attractive risk/reward profiles and act decisively under pressure.

Responsibilities

• Research and build semi-automated trading algorithms across live event markets.
• Develop and refine systematic research processes to improve trade selection, execution, and portfolio performance.
• Monitor and actively manage inventory positions with holding periods ranging from minutes to days or longer.
• Analyze supply, demand, liquidity, pricing dynamics, and market timing to optimize returns.
• Utilize a wide range of datasets including ticket market data, streaming trends, and social metrics.
• Partner with technology and data teams to improve research tools, dashboards, trading infrastructure, and data pipelines.
• Help shape and scale the firm's next-generation trading platform for live event markets.

Skills

Risk management

Analytical skills

Decision making

Entrepreneurial mindset

Education

Bachelors degree in STEM fields

Tools

Research tools

Dashboards

Quant workflows

Job description

Selby Jennings partners with a Miami-based founder who is building a proprietary trading business focused on live events markets. You will have direct exposure to idea generation, position management, and capital allocation, influencing trading performance from day one.

The role involves developing semi-automated algorithms for concerts, sports, and other live events and leveraging diverse datasets such as ticket market data, streaming trends, and social metrics to drive research and execution.