Genius Sports

London
Total Offices: 2
1,800 Total Employees
Year Founded: 2001

Genius Sports Offices

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified

Global Office Locations

London

Our London office is located in the heart of Marylebone. Home to our executive, delivery and technology, commercial, finance and legal teams.

Manchester

We have a business development and delivery presence in Ancoats, an area steeped in cultural heritage and entrepreneurial spirit.

Recently posted jobs

17 Days AgoSaved
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
Responsible for monthly group consolidation, intercompany reconciliation, book entries, month-end close, quarterly analytics, SOX controls, audit support, and KPI reporting. The role also drives process improvements, automation, financial systems enhancements, and data integrity while collaborating with technical accounting, finance systems, and stakeholders across the organization.
One Month AgoSaved
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
Owns key monthly, quarterly, and year-end financial reporting activities across the balance sheet, P&L, and cash flow. Responsibilities include reconciliations, variance analysis, audit support, controls, and financial insight generation. The role also improves and automates reporting processes using Excel and data tools, partners with Finance teams, and contributes to broader finance transformation projects in a multinational, listed business.
One Month AgoSaved
Easy Apply
Hybrid
London, Greater London, England, GBR
Easy Apply
AdTech • Artificial Intelligence • Machine Learning • Marketing Tech • Software • Sports • Big Data Analytics
Own FP&A and commercial finance partnering for the iGaming business. Analyze P&L, EBITDA, operational KPIs, forecasts, budgets, investments, and scenarios to identify risks and opportunities. Build financial models and business cases, challenge assumptions, influence senior stakeholders, and translate complex data into actionable recommendations. Partner with Product, Commercial, Marketing, and Data teams while improving FP&A models, reporting, processes, and data usage.