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White Swan Data

Data-driven betting models; liquidity provider

Quantitative Specialist

Quantitative DevelopmentUpdated on Nov 13
Full-timeNew York, NY, USA$160k - $180k /yr

About the Job

Requirements

  • A master's degree in mathematics, statistics, computer science, engineering, or another quantitative discipline.
  • One to two years of professional experience in a quantitative role.
  • Proficiency in analytical programming languages such as R, Python, or C++.

Responsibilities

  • Acquire data from multiple sources, filtering, cleaning, and wrapping it.
  • Interpret data, analyze results using statistical techniques, and provide reports.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Work within the team to prioritize business and information needs.
  • Identify process improvement opportunities.
  • Design, build, test, and deliver data processing and automation software.

Desired Qualifications

  • Experience with statistical modeling and data analytics.
  • Strong attention to detail and ability to retain information.
  • Strong communication and collaboration skills.
  • A positive can-do attitude and ability to meet deadlines.
  • Willingness to learn and adapt to new environments.
  • Experience in the financial, betting, or gaming industries.

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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