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.

Requirements

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