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White Swan Data

Data-driven betting models; liquidity provider

Operator

Sales & TradingUpdated on Nov 13
Full-timeLondon, UKNo salary listed

About the Job

Requirements

  • Demonstrably strong attention to detail.
  • A focused and diligent work ethic under pressure.
  • Fast mental arithmetic and numeracy skills.
  • Proficiency in Microsoft Excel and the ability to present data in a compelling manner.
  • Excellent written and verbal communication skills.
  • Willingness to work irregular shifts, including weekends, and evening shifts on a rota schedule.
  • A working knowledge of Excel or Google Sheets; knowledge of lookups, SUMIFS, import ranges, and other functional formulae is a bonus.

Responsibilities

  • Execute bets.
  • Research new areas.
  • Record and analyse data across a range of different fields.
  • Monitor market activity within the organisation and across competitors.
  • Make quick decisions based on changing information and circumstances.
  • Maintain constant and clear communication with other members of the team.

Desired Qualifications

  • Knowledge of lookups, SUMIFS, import ranges, and other functional formulae in Excel or Google Sheets.

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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