Financial Data Analytics Manager

About Marex Marex Group plc (NASDAQ: MRX) is a diversified global financial services platform providing essential liquidity, market access and infrastructure services to clients across energy, commodities and financial markets. The group provides comprehensive breadth and depth of coverage across four core services: clearing, agency and execution, market making, and hedging and investment solutions. It has a leading franchise in many major metals, energy and agricultural products, with access to 60 exchanges. The group provides access to the world’s major commodity markets, covering a broad range of clients that include some of the largest commodity producers, consumers and traders, banks, hedge funds and asset managers. With more than 40 offices worldwide, the group has over 3,000 employees across Europe, Asia and the Americas. For more information visit https://www.marex.com/ Role Summary Develop centralised core datasets for Marex’s trading systems, globally across the firm, to the standards of a listed environment for purposes such as: Enterprise level dataset integration Management P&L reporting Balance Sheet Substantiation Statutory Reporting Build an extensive knowledge of Marex’s business operations, covering booking models, source systems and data flows, to work towards the systematic development of the required data sets. Build tools that make use of these datasets, for example: Reconciling them to the general ledger Using them to automate parts of Finance’s workload Exposing them to AI tools Partner with the enterprise data engineers, and data analytics teams working towards the target state solution for sourcing and reporting data for the firm. Become SME for these datasets and tools, document them and ensure smooth adoption by Finance and robust integration into enterprise datasets to describe the firm in granular and timely terms. Responsibilities Work with internal teams to develop core datasets for the various trading systems in use at Marex. Refine these datasets to ensure they meet Finance’s requirements for management P&L reporting, balance sheet substantiation, statutory reporting including ensuring they can be effectively interpreted by AI tools. Build reconciliations and similar to ensure these datasets tie to the general ledger and to assist Finance in using them for the abovementioned tasks. Typically, the build will take place using End User Computing (“ EUC ”) applications such as Alteryx. Partner with the enterprise data engineers and analytics teams to validate integrated datasets against the general ledger and act as the liaison and representative for Finance into enterprise level dataset creation and maintenance across the wider firm. Work with IT department to manage any parts of the build not being implemented through EUCs. Design and execute UAT testing for all tools built and any subsequent changes. Become subject matter expert on these datasets and associated tools.…