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• 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 Originally posted on Himalayas
Sourced from Himalayas. Confirm the details and apply on the employer's site.
