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Open nowFirst seen 2 hours ago

Software Engineer

White Swan Data15 open roles

Where
London
Work mode
On site
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Your applicationOpen nowSoftware EngineerWhite Swan Data · London

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 57.8%60 days
This job: first seen 2 hours ago

The posting

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.
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