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Operate live sports trading systems, monitor betting and prediction markets, identify inefficiencies, and support trading strategy optimization. The role provides real-time feedback to developers and quantitative analysts, collaborates with operational support, and resolves issues to minimize downtime and risk. Applicants need analytical ability, betting-market knowledge, precise execution, and willingness to work day, evening, weekend, and overnight shifts.

Manage a betting-market trading system to maximize trade volume and meet performance targets. Collaborate with developers, quants, and operational support teams to improve the trading pipeline, provide practical system feedback, and resolve issues quickly to minimize downtime. The role requires availability for day, evening, weekend, early morning, and late-night shifts, along with a strong interest in data, betting markets, and quantitative analysis.

Develop mathematical and statistical models, high-performance algorithms, data processing pipelines, and betting-operation automation. Acquire, clean, analyze, and interpret complex datasets; produce reports; identify trends and process improvements; and build, test, and deliver software. The role also involves back-testing, simulations, and collaboration with mathematicians, data scientists, and software engineers.

Develop and optimize cloud-based, low-latency trading systems processing real-time market and event data. Responsibilities include building data pipelines, integrating trading platforms, improving trading strategies, developing analytical reporting, optimizing millisecond-level performance, collaborating with quantitative analysts, and maintaining GCP infrastructure and deployment pipelines.