Jobs at White Swan Data

Identify inefficient manual processes across business teams and design, build, test, deploy, and maintain reliable automation solutions. Collaborate with technical and non-technical stakeholders, use programming languages, APIs, workflow tools, data processing, and AI, and measure automation impact. Own projects from discovery through implementation while documenting solutions, monitoring reliability, gathering feedback, and continuously improving workflows.

Develop advanced automation and visual data processing workflows using AI tools, focusing on computer vision and data streaming techniques while ensuring system reliability and scalability.

Develop and maintain low-latency football data acquisition and analysis systems using social media and other unstructured sources. Build relational database schemas and RESTful API integrations for modeling and trading systems, optimize system performance, and integrate LLM-based pipelines that convert unstructured data into structured outputs. Collaborate with football analysts to ensure data quality and utility.

Analyze MMA events, fighters, matchups, statistics, and fight conditions to produce actionable insights for traders and quantitative specialists. Research upcoming fight cards, write detailed reports, monitor news and performance data, participate in trading activities, and communicate findings clearly. The role requires deep MMA knowledge, strong analytical and communication skills, teamwork, and availability for four weekend days per month.

Operate and monitor live sports trading systems, execute trades to meet performance targets, identify market inefficiencies, provide real-time feedback to developers and quants, troubleshoot issues, and help optimise the trading pipeline across shifts.

The Senior Software Developer will design, develop, and optimize cloud-based low-latency data processing systems while collaborating with analysts to implement trading strategies.

Develop, backtest, operationalise and trade American Football quantitative strategies (pre-match and in-play). Set and adjust pricing, monitor models live, manage risk, collaborate with quants and engineers, and support data acquisition and cleaning.