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White Swan Data

Data-driven betting models; liquidity provider

Financial Accountant

Financial AccountingUpdated on Nov 13
Full-timeLondon, UKNo salary listedIn-person

About the Job

Requirements

  • Be at least part-qualified as an accountant.
  • Have at least 3 years of experience working within audit or in a finance function with high-volume transactions.
  • Have excellent knowledge of Microsoft Excel.

Responsibilities

  • Manage and oversee the organisation’s month-end reporting process, including the preparation, review and consolidation of monthly management accounts.
  • Perform monthly balance sheet reconciliations to ensure accuracy.
  • Allocate departmental costs to enable variance and trend analysis.
  • Prepare and post key journals, including accruals, prepayments, and accrued and deferred income or costs.
  • Assist in the budgeting and forecasting process to ensure that funds are being deployed effectively.
  • Assist in year-end statutory processes, handle audit queries, and liaise with tax advisors.
  • Oversee the company's compliance with tax legislation and regulations, including VAT, Corporation Tax, and PAYE/NIC.
  • Identify deficiencies in processes or controls and implement improvements.
  • Deliver other ad hoc projects as requested by the CFO.

Desired Qualifications

  • Have exposure to ERP systems; experience with Xero is an advantage.
  • Have a good working knowledge of UK GAAP accounting standards.
  • Have experience working in an accountancy firm.
  • Have excellent organisational and communication skills.
  • Be able to adapt and respond to changing priorities.
  • Be willing to learn and work as part of a team.

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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