2 jobs found

Company Description At bet365, we're one of the world's leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 9,000 people and serve over 100 million customers in 27 languages. Our focus on In-Play betting has solidified our market-leading position, offering an unmatched experience across 96 sports and 700,000 streaming events. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe, we handle over 6 billion HTTP requests daily and process more than 2 million bets per hour at peak. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of opportunities for growth, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, were breaking new ground in software innovation too, redefining whats possible for our customers worldwide. Job Description A Senior Finance Analyst who will support with providing financial analysis, reporting, and insights to Revenue. Reporting to the Senior Finance Business Partner, you will be instrumental in driving informed decision-making, assisting in the development of business cases for new projects, and evaluating the financial impact of strategic initiatives. A key aspect of the role involves developing and maintaining detailed revenue models, incorporating key drivers, market trends, and business initiatives to accurately forecast future revenue streams. This role is a fantastic opportunity for someone with an analytical approach to work as you will be required to investigate and explain variances, identifying key trends and opportunities for improvement. This role is eligible for inclusion in the Companys hybrid working from home policy. Successful applicants will be required to provide proof of eligibility to work in the UK. Qualifications Degree in Finance, Accounting, Economics, Mathematics or a similar discipline is essential. Proven experience in financial analysis, modelling, and interpreting large datasets. Proficiency in advanced Excel functions and financial modelling. Familiarity with financial systems and data visualisation tools. Strong analytical and problem-solving skills. Excellent communication and presentation abilities. Self-driven with a proactive approach to tasks. CIMA qualification or equivalent. Additional Information Assisting in the development of annual budgets and forecasts for the Revenue area. Developing and maintaining detailed revenue models, incorporating key drivers, market trends, and business initiatives to accurately forecast future revenue streams. Investigating and explaining variances, identifying key trends and opportunities for improvement. Supporting the Senior Finance Business Partner in preparing presentations for senior management. Monitoring key performance indicators (KPIs) and providing insights into performance trends. Preparing ad-hoc financial reports and analysis as required. Providing financial analysis and modelling to support business decisions, including ROI analysis, cost-benefit analysis, and sensitivity analysis. Assist in the development of business cases for new projects and initiatives. Supporting the SeniorFinance Business Partner in evaluating the financial impact of strategic initiatives and investment proposal. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please dont hesitate to reach out. JBRP1_UKTJ

Product Owner £40-60k depending on experience London 2 days a week, working from home the remainder of the week My client, a leading provider of risk management software to the energy, commodities, and financial services sectors is actively expanding their team and is looking to add a an analytical Product owner to the team. This position would suit an ex quant or data analyst with a mathematical background who is keen to move into product. Reporting into the Product Manager, The successful Product Owner will be tasked with to managing roadmap planning and delivery, gather requirements from clients, and ensure that analytics features (including calculations like Pricing Curves, VaR, PFE, P&L) are designed, tested, and delivered successfully . Key Responsibilities for the position of Product Owner: Gather and clarify client requirements (especially for new client take-ons). Analyse data and validate outputs for complex analytics (Pricing Curves, VaR, PFE, etc.). Write clear BRD/FRDs and ensure stakeholder alignment. Participate in roadmap planning, mid-term feature planning, and gap analysis. Work with Professional Services post-sales to scope and implement 3-4 projects simultaneously. Help with client questions, bug triage, and after-care. Collaborate with Dev/QA to design, test, and deliver enhancements. Conduct UAT, defect management, and provide feedback loops between clients and engineering. Ideal Background for the position of Product Owner 3+ years in a relevant domain (energy, commodities, or financial services) in an analyst/consulting role. Proficiency in SQL and strong data-analysis skills. Exposure to one or more: Pricing Curves, VaR, PFE, P&L, stress testing, or limits management. Ability to turn business needs into clear, testable specifications and implementation plans. Excellent written and verbal communication with technical and non-technical stakeholders; strong organisation and prioritisation. Profile Fit: Quantitative / data-oriented analyst looking to move into product, with strong communication skills and ability to translate complex analytics into clear specifications. Nice to have Experience with a risk or pricing system, ideally including data validation or construction of Pricing Curves. Familiarity with risk reporting, market data, and risk methodologies. Hands-on UAT/test design and defect management (e.g., Jira/Confluence). Degree in Mathematics, Computer Science, Engineering, or related field or equivalent practical experience. Professional proficiency in English (spoken and written); additional European languages are a plus. Experience in business systems implementation (requirements, configuration, or testing) or data science. Data/Analytics/quant/energy