• Have you independently live traded CS2 matches using in-house models, adjusting pricing in real time without external odds references?

• Do you have hands-on experience identifying underperforming live pricing models and manually correcting markets to maintain high uptime (95%+ for top-tier events)?

• Have you actively traded multiple FPS esports titles (CS2, Valorant, Rainbow Six, or similar) and used game-specific knowledge to inform live pricing decisions?

If the answers to the above questions are yes, then this role could be ideal for you!

About the Role

We’re looking for a skilled and experienced Live Trader to trade CS2 matches while also understanding other key shooter titles like Valorant, Rainbow Six, and more.

This is a hands-on and dynamic role where you will trade matches using in-house mathematical models, making real-time adjustments to ensure markets stay balanced and competitive. You will need to quickly identify when the model isn’t performing optimally and adjust the pricing to maintain 100% uptime for general trading activities.

For top-tier events, you’ll be expected to trade with 95%+ uptime, setting the pricing independently, without relying on external reference sources. In addition to managing live trading, you’ll provide critical feedback on model performance, fine-tuning strategies to optimize market efficiency.

What you will do 

• Live trade CS2 and other FPS matches using in-house pricing models across all tiers

• Monitor the model’s performance, identifying issues and adjusting pricing to ensure competitive and balanced markets

  Feedback on models, pricing and industry trends to relevant stakeholders

• Mentor junior traders and contribute to trading best practices

  Conduct post-match reviews to refine predictive models and future forecasts

• Offering insights on FPS titles based on deep knowledge and interest in specific areas

• Support continuous improvement in trading processes, tools, and automation

Your skills will include

• 3+ years experience in esports trading, preferably with a strong focus on CS

• Deep understanding of FPS esports titles, including game mechanics, tournament formats, teams, meta, and results

• Proven track record in live trading and risk management

• Strong mathematical understanding of probabilities and expected value

• Analytical mindset and strong attention to detail

• Ability to make quick, accurate judgments based on live match data

• Flexible availability to match global esports schedules

Nice to Have

• Hands-on experience with trading automation

• Familiarity with model validation and statistical testing for pricing models

• Experience mentoring junior traders