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White Swan Data

Data-driven betting models; liquidity provider

Senior Software Developer

Backend EngineeringUpdated on Nov 13
Full-timeNew York, NY, USANo salary listed

About the Job

Requirements

  • Strong programming skills in Python and Java.
  • Hands-on experience with Google Cloud Platform and Docker containerization.
  • Experience building and integrating RESTful APIs, particularly for real-time applications.
  • Understanding of performance optimization techniques and experience building resilient systems with strict latency requirements, streaming data architectures, and event-driven systems.
  • A solid grasp of data pipeline design, extract, transform, and load (ETL) processes, and schema design for transactional and analytical workloads.
  • Experience with artificial intelligence is required.

Responsibilities

  • Design, develop, and optimize cloud-based low-latency data processing pipelines.
  • Implement and maintain integrations with multiple trading platforms.
  • Enhance existing trading strategy implementations for improved performance.
  • Design and implement real-time data processing and analytical reporting pipelines.
  • Monitor and optimize system performance to maintain millisecond-level latency targets.
  • Collaborate closely with quantitative analysts to translate trading strategies into production code.
  • Maintain and improve Google Cloud Platform-based infrastructure and deployment pipelines.

Desired Qualifications

  • Experience in a trading environment.
  • Industry experience in wagering or betting.

About the Company

White Swan Data

Data-driven betting models; liquidity provider

White Swan Data is a London-based firm that builds data-driven betting models to identify opportunities in iGaming and prediction markets. It provides mathematics and data-led services to price risk and develop betting strategies, and acts as a market maker and liquidity provider for prediction exchanges and related platforms. It quotes prices, absorbs event risk, and supplies liquidity to deepen markets, sometimes handling a large share of activity on secondary exchanges. Its team of mathematicians, data scientists, and software engineers builds the infrastructure to support gambling and trading services, aiming to deliver reliable liquidity and scalable trading systems for clients.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2019

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