Sports Trader

White Swan Data • New York, NY

5d

About The Position

White Swan Data is hiring multiple Sports Trader roles within its in-house trading team, covering entry-level and experienced profiles. The team analyses markets 24/7, 365 days a year, and is expanding its execution capability across exchange platforms and prediction markets. Successful applicants will contribute to live market execution, performance monitoring, and process development. The roles offer opportunities to take responsibility early, develop a niche, and progress within the business. Training will be provided. Availability for day, evening, and weekend shifts is required, particularly to support the US sporting schedule.

Requirements

• At least 1 year of experience as a sports trader.
• Strong analytical mindset and ability to interpret data, identify patterns, and draw practical conclusions.
• Strong work ethic and genuine desire to succeed in a results-oriented environment.
• Ability to execute instructions precisely and clearly communicate technical issues or observations.
• Ability to balance multiple tasks and manage time effectively under pressure.
• Willingness to work unsociable hours, including weekends, early mornings, and late nights, aligned with global sporting schedules.
• Proactive, independent, and curious mindset, with eagerness to improve in an agile and sometimes intense working environment.

Nice To Haves

• A BSc in Mathematics or a related quantitative discipline, such as Physics, Economics, or Engineering, is advantageous but not essential.
• A good understanding of betting markets, exchanges, or prediction markets is highly beneficial.
• Prior trading or betting market experience is a strong advantage, particularly for more senior positions.

Responsibilities

• Manage and operate trading systems to maximise trade volume while consistently meeting target performance metrics.
• Monitor live markets and trading activity, identify patterns, inefficiencies, and emerging opportunities, and support strategy development and optimisation.
• Provide real-time practical feedback to developers and quants to improve trading models, execution logic, and system performance.
• Work with the operational support team to streamline and optimise the end-to-end trading pipeline.
• Troubleshoot and resolve practical problems quickly to minimise trading downtime and risk.

Benefits

• Salary depending on experience.
• Annual discretionary performance bonus.
• 25 days holiday per annum.
• Pension plan.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed