Product Owner - Financial Analytics at capital

<div>We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team.<br><br>We are seeking a <strong>strategic and technically hands-on Product Owner to lead a high-impact team responsible for managing the full lifecycle of financial and regulatory data reporting across our regulated entities.</strong> This role involves a strong mix of technical expertise, financial acumen, and leadership skills to ensure the delivery of accurate, reliable, and regulatory-compliant reporting processes.</div> Responsibilities: • Lead the Financial Analytics team in delivering automated and scalable reporting solutions in areas of: Trading and Dealing, Compliance and AML, Finance. • Regularly review existing processes to identify optimisation opportunities and reduce manual work. • Ensure regulatory deadlines are met with accurate, auditable outputs. • Collaborate closely with Data Engineering, Compliance, Risk, Finance, and other Technology teams to align on data needs and system integration. • Own the roadmap for reporting automation with a focus on reducing manual processes and increasing reliability. • Proactively monitor and plan for source system changes and new product launches, ensuring timely adaptation of data pipelines and reporting processes. • Contribute to the overall data strategy within the company and represent the team in cross-functional initiatives. Requirements: • Proven experience in a senior data or analytics leadership role, ideally within financial services or fintech. • Deep understanding of financial markets and instruments (including trading workflows and regulatory frameworks). • Strong knowledge of AML/Compliance reporting requirements. • Excellent stakeholder communication and project management skills. Success metrics: • On-time delivery. • Accuracy, reliability and scalability of reporting pipelines. • High stakeholder satisfaction with data services provided.