Top Tech Jobs & Startup Jobs in London

Manage global consolidation and financial reporting across multiple entities, including FX inputs, intercompany eliminations, journal entries, FICO master data, disclosures, and SOX controls. Provide technical accounting guidance, support audits and M&A workstreams, troubleshoot ERP and consolidation systems, and drive automation and process improvements for a publicly listed company.

Lead the strategic direction and lifecycle of a casino and interactive gaming portfolio. Define product vision, identify market opportunities, lead discovery and innovation, validate concepts, and oversee gameplay, UX, quality, launches, and optimization. Own portfolio KPIs, engagement, retention, monetization, revenue, and ROI. Partner with Product, Design, Engineering, Commercial, Operations, executives, and external stakeholders while mentoring product managers and driving cross-functional alignment.

Own the Workday reporting and people analytics function, including advanced reports, dashboards, Discovery Boards, Worksheets, calculated fields, Power BI models, cross-system data flows, security, data quality, automation, and AI readiness. Enable HR, Finance, and leadership stakeholders through self-service reporting and training while handling day-to-day reporting requests and improving the overall reporting strategy.

Conduct outbound and inbound prospecting across email, calls, LinkedIn, video, and events; qualify opportunities, understand prospect needs, and build sales pipeline across sports, media, and betting markets. Maintain accurate Salesforce records, use Outreach and other sales tools, communicate Sportradar’s value proposition, collaborate with Marketing, Sales, and Product, and help establish the company’s global Sales Development function.

Own the end-to-end roadmap for Sportradar’s eSports odds product, integrating content suppliers and redistributing content to bookmaker clients. Partner with engineering on integration solutions, write product specifications, use quantitative and qualitative insights to guide decisions, and coordinate launches and scaling. The role requires influencing cross-functional stakeholders across engineering, trading, sales, suppliers, and other business units within a complex, matrixed organization.

Lead and scale a global Sales Development team across regions and time zones. Responsibilities include coaching SDRs, standardizing playbooks, managing performance metrics, improving onboarding and ramp, strengthening SDR-to-AE handoffs, developing competitive and product knowledge, integrating AI into prospecting, establishing operating cadences, and supporting hiring and career progression.

Develop interactive business intelligence applications, customer reports, dashboards, and automated reporting processes. Query and model large datasets using SQL, create Power BI and Excel visualizations, support data governance and security, and collaborate with business and technical stakeholders. The role also contributes to the BI roadmap, recommends innovative data solutions, and presents analytical ideas clearly to users and developers.

Monitor live sporting events and betting markets, manage client risk exposure, analyze betting activity and customer behavior, investigate unusual patterns, and produce trading performance insights. The role requires rapid decision-making under pressure, strong sports and betting knowledge, data analysis using Excel or SQL, data visualization, effective communication, and flexibility for shift-based work in a fully onsite London environment.

Build and maintain financial, revenue, ROI, and pricing models; analyze large datasets; conduct scenario and pricing-impact analysis; value content and products; support commercial initiatives; maintain global price lists; and provide rigorous recommendations to strategy, product, and commercial teams. The role also establishes modeling standards and mentors junior analysts.

Analyze revenue performance, identify key drivers behind trends, pressure-test forecasts, refine commercial planning assumptions, and investigate revenue variances. Build business models for pricing and market entry, guide forecasting and budgeting processes, translate complex data into recommendations for senior stakeholders, and automate revenue reporting using SQL, BI tools, data warehouse, and billing datasets.