Software Engineer
Posted Updated 9
views
Summary
Joins a small team building football data acquisition and analysis systems that use LLMs to turn social media and other unstructured sources into low-latency structured data for internal modeling and trading systems. Day-to-day work spans Java/Spring and Python development, Postgres schemas, REST API integrations, and GCP/Docker infrastructure.
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.
- 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
- 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
- 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.