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Lead product strategy to expand market access to global liquidity sources for low-latency trading systems. Own stakeholder relationships with external suppliers and internal teams, define functional and non-functional requirements, prioritize a sprint backlog, and build operations and monitoring to ensure safe, scalable use of trading products.

12-month graduate programme to build a prediction-markets trading operation for US sports: process live data, build probability models, develop high-frequency trading systems, analyse strategy performance, and implement risk/capital management tools. Strong cross-discipline collaboration and potential for permanent hire.

The Software Developer will enhance liquidity access, develop data feeds, and ensure software stability while collaborating across teams. Responsibilities include coding, testing, and production support.

Join a quant team to research and build predictive models for sports and trading. Apply advanced statistical and probabilistic methods, design models, collaborate with traders and developers, and contribute novel modeling techniques early in your career.