Jobs at White Swan Data

Provides high-level administrative support to senior management by managing calendars, meetings, travel, correspondence, confidential records, events, and stakeholder communications. The role requires exceptional organization, discretion, communication, flexibility, and independent judgment while handling time-sensitive tasks and representing the organization professionally.

Analyze trading and market data to generate actionable insights, build reporting and visualization tools, test trading ideas, and support quantitative model development. Responsibilities include dataset creation, backtesting, statistical analysis, performance validation, and collaboration with traders and quants in a fast-paced in-person trading environment.

Monitor football betting markets, analyze live and historical data, adjust odds based on real-time events, and identify trading opportunities. Collaborate with analysts to improve predictive models while maintaining accuracy under pressure during live matches. The role requires strong mathematical ability, comprehensive football knowledge, analytical decision-making, and flexibility for weekend and evening shifts.

Manage month-end reporting, management accounts, balance sheet reconciliations, departmental cost allocation, journals, budgeting, forecasting, statutory accounts, audits, tax compliance, and process improvements. The role requires a part-qualified accountant with three years of finance or audit experience, advanced Excel skills, and the ability to manage competing priorities in a fast-paced startup environment.

Develop and operate full-stack web applications across the complete software lifecycle, including ideation, design, prototyping, development, deployment, maintenance, and support. Build scalable frontend and backend solutions using React, JavaScript, TypeScript, Python, microservices, event-based architecture, and GCP. Collaborate directly with stakeholders, independently deliver projects, and contribute to deployment and continuous development practices.

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.

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.