Finance Data Architect & Analytics Lead

Rex Technologies GmbH

Greater London

On-site

GBP 75,000 - 110,000

Full time

6 days ago
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Job summary

Marex are seeking a Finance Data Specialist to build centralised datasets for trading systems and finance reporting. You will work with data engineers and analytics teams to ensure datasets align with the general ledger, P&L reporting and statutory requirements.

You will help automate workflows, expose data to AI tools, and train the Finance team on new datasets and tooling. The role requires regulated-finance experience, strong Excel skills and a proactive, collaborative approach.

Qualifications

  • Extensive experience in Finance within a regulated environment.
  • Strong problem solving and analytical skills.
  • Detail-oriented with a focus on accuracy and controls.
  • Demonstrated ability in data manipulation and data quality.
  • High proficiency in Microsoft Excel and data analysis tools.

Responsibilities

  • Develop centralised core datasets for trading systems and Finance reporting.
  • Build reconciliations to link datasets with the general ledger using EUC tools such as Alteryx.
  • Collaborate with data engineers and analytics teams to validate datasets across the firm.
  • Manage builds with IT and standardise processes for adoption by Finance.
  • Design and execute UAT testing for all tools and updates.
  • Document datasets, provide training to Finance, and ensure smooth adoption.
  • Long-term migration of tools to IT-owned platforms.

Skills

Finance experience
Problem solving
Detail-oriented
Data manipulation
Excel expertise

Education

Qualified accountant (ACA/ACCA/CIMA)

Tools

Alteryx
Power BI
MS Access
VBA
Python
Power Query

Job description

Marex are seeking a Finance Data Specialist to build centralised datasets for trading systems and finance reporting. You will work with data engineers and analytics teams to ensure datasets align with the general ledger, P&L reporting and statutory requirements.

You will help automate workflows, expose data to AI tools, and train the Finance team on new datasets and tooling. The role requires regulated-finance experience, strong Excel skills and a proactive, collaborative approach.

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