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.
We are looking for a Developer to join our small, dynamic team building cutting-edge football trading systems. You'll work on low-latency market-making infrastructure across a range of prediction markets and trading venues, alongside the real-time data pipelines that feed our models, including LLM-driven systems that turn social media and other unstructured sources into structured data. This is an opportunity to work on challenging technical problems in a collaborative environment where your contributions directly impact our platform's success.
Key Responsibilities
- Collaborate closely with our traders, quants and football analysts to ensure data utility and accuracy
- Design, develop, and maintain data acquisition systems taking inputs from social media and other unstructured online sources, which produce timely structured data for internal use in models and trading systems
- Implement and maintain relational database schemas and API integrations which interface the above with internal modeling and trading systems
- Enhance and refactor existing systems for scale and performance
- Monitor and optimize system performance to maintain and improve low-latency pipelines
- Collaborate closely with football analyst team to ensure data utility and accuracy
Skills, Knowledge and Expertise
- Postgres: Familiarity with Postgres and/or other traditional RDBMS.
- Programming Proficiency: Strong skills in Java (Spring), experience in Python, and working knowledge of R
- Cloud & Infrastructure: Hands-on experience with Google Cloud Platform (GCP) and Docker containerization
- API Development: Experience building and integrating with RESTful APIs, particularly for real-time applications
- AI/LLM integration: Experience with design and delivery of analytics pipelines which include LLM elements for conversion of unstructured to structured data: familiarity with prompt engineering in this domain with OpenAIand/ or other frontier model APIs
- Version Control & CI/CD: Proficiency with Git and modern deployment practices
Benefits
- Salary depending on experience.
- Annual discretionary performance bonus.
- 25 days holiday per annum, plus UK bank holidays.
- Private health & dental insurance.
- Optical cover through Aviva.
- Pension plan.
- Gympass membership to over 1900 gyms and wellness businesses.
- Breakfast bought in everyday and lunch bought in twice a week
- Free coffee & snacks at the office.
- Regular team events & socials.
About
Technology is at the heart of our business and has produced consistent and significant results. We are a small but rapidly growing team of mathematicians, data scientists and software engineers constantly striving to refine our world class statistical models while also researching and deploying new ones.Our work bridges three domains, each challenging in its own right - iGaming, quantitative research and software development. This convergence demands a rare blend of skills and creativity to identify and capitalise on inefficiencies across the iGaming landscape. The opportunities are vast, but we are only as good as the people we bring on board.As a startup, we offer a dynamic and entrepreneurial environment where you’ll work on impactful projects and have the autonomy to explore new ideas. In-person collaboration and innovation are at the heart of what we do, and we are always looking for individuals who can contribute their unique perspectives and talents to help us stay ahead in a constantly evolving industry.At White Swan Data, we recognise that building a diverse and inclusive workforce within a highly technical field presents both opportunities and challenges. We recognise the value that a variety of perspectives can bring to innovation, problem-solving, and business success. A team composed of individuals from different backgrounds, experiences, and ways of thinking fosters creativity, enhances decision-making, and ultimately strengthens our ability to tackle complex challenges.
White Swan Data London, England Office
London, United Kingdom
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