You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech - and we’re just getting started.Communication & Stakeholder Management:Act as the vital bridge between technical data architecture and business-focused enterprise treasury operations, translating complex data findings into clear, non-technical insights.Proactively communicate with cross-regional teams (finance, engineering, and global treasury) across multiple time zones, ensuring alignment on data definitions, reporting requirements, and project timelines.Draft clear, concise documentation for data pipelines, dashboard usage, and reporting metrics to ensure global teams can easily understand and leverage your tools.Data Modeling & Technical Execution:Take technical requirements translated by the Manager and develop robust data pipelines and models to support treasury operations.Ensure data architecture is scalable, reliable, and optimized for rapid querying and analysis.Reporting, BI & Visualization:Design, build, and maintain automated, user-friendly treasury dashboards and reports using Looker/Tableau/Power BI (or similar tools).Uncover and visualize key trends across all treasury domains to support senior stakeholders.Explore and implement AI, machine learning, and predictive analytics to improve treasury insights.Qualifications:Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, Finance, or a related quantitative field (Not Mandatory).Experience:2-4 years of experience in data analytics, data engineering, or business intelligence, preferably within a fintech, banking, payments, or financial services company.Advanced proficiency in SQL and cloud data warehousing (specifically BigQuery and Snowflake).Hands-on experience with data transformation tools (dbt).Strong expertise in building dashboards and visualizations in Looker.Bonus: Practical experience or strong familiarity with integrating AI/ML models or leveraging Python/R for predictive analytics.able to distill complex, technical data into clear narratives for diverse, global audiences.Deep understanding of the modern big data tech stack with an appetite for adopting new technologies, particularly in the AI space.Highly skilled at diving into complex, messy data to extract clean, reliable, and actionable insights.Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Finance Consultant - Hybrid in London employer: Checkout.com
At Checkout.com, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. With our London headquarters, we offer a dynamic work environment where employees are empowered to take ownership of their roles and contribute to meaningful projects from day one. Our commitment to employee growth is evident through clear career advancement opportunities and a supportive hybrid working model that promotes work-life balance, making us a top choice for talent acquisition professionals seeking to make a significant impact in the fintech industry.
