Your mission will be:

📍Review monthly reconciliations performed by the Operations Team and provide training on areas of improvement 📍Document and review control weaknesses and vulnerabilities, preparing product requests, tasks and timelines for the various improvements 📍Own the resolution of reporting discrepancies and anomalies within our bank accounts and provider balances 📍Drive automation and improvement of financial reporting and operational tasks within the Payments Fleet 📍Assist with forecasting and modelling of commercial terms with providers, as well as internal fee change proposals 📍Review internal and external communication processes and identify areas of improvement 📍Track and report losses incurred due to errors within the Payments function or customer corrections 📍Review delivery of banks and providers against Service Level Agreements and resolve any deviations with the Legal and Countries Teams 📍Oversee the launch of new coins and liquidity pairs within the Payments function 📍Has a good understanding of core function (Financial aspects of Payment Operations) 📍Works closely with Internal Audit, Risk and Continuous Improvement 📍Teams on regular reviews of processes within Payments 📍Work closely with the relevant business stakeholders to understand their data needs 📍Determine the data needed to address the business needs while ensuring it is of the highest quality, reliable and trusted 📍Interpret trends, patterns in data and provide the business with actionable insights 📍Collaborate with analytical data engineers to design and build any pipelines/data models needed to support analytical and reporting needs 📍Design metrics to help access how the business in performing day to day 📍Build visually compelling dashboards that communicate insights to stakeholder (often non technical) to allow data informed decision making

A little about you:

📍Professional experience in accounting, reconciliations or payment processing 📍Proven experience driving improvements to business processes 📍A minimum of 2 years experience in the data space 📍Experience working with business intelligence platform such as Looker, Tableau, DataBricks, PowerBi or similar 📍A passion for storytelling and data visualisation 📍Refined exploratory data analysis skills 📍Data science or similar qualification 📍You are passionate about data analytics and related disciplines 📍You can leverage data analytics to innovate and create out-of-the-box solutions 📍You can gather and synthesise facts, theories, trends, patterns, inferences, and key issues in complex and variable situations 📍You are intellectually curious and have the persistence to find answers to difficult questions