Liquidity Data Analyst SQL - Alexander Mann Solutions Contingent

Responsibilities

• Support the production and optimisation of liquidity and regulatory reporting.
• Develop and maintain SQL-based datasets and pipelines for accurate liquidity data reporting.
• Analyse liquidity data to perform trend analysis, variance analysis, and root cause investigations.
• Contribute to the modernisation of liquidity data infrastructure and reporting processes.
• Build and enhance the liquidity data dictionary, ensuring strong data definitions, lineage, and governance.
• The skills you'll need:
• Strong experience in liquidity reporting within banking or financial services.
• Advanced SQL skills and experience working with complex financial datasets.
• Proven background in data analysis, data modelling, and reporting.
• Understanding of data governance, data dictionaries, and data lineage concepts.
• Experience with BI tools such as Power BI or Tableau.
• Exposure to modern data platforms or technologies (e.g., Azure, Databricks, Snowflake, Python, or AI/analytics tools).
• Next steps
• This client will only accept workers operating via an Umbrella or PAYE engagement model.
• If you are interested in applying for this position and meet the criteria outlined above, please click the link to apply and we will contact you with an update in due course.
• AMS, a Recruitment Process Outsourcing Company, may in the delivery of some of its services be deemed to operate as an Employment Agency or an Employment Business

Additional Information

Our client, a major UK retail bank, provides every day banking services to over 17 million retail customers. The banks expertise and services span across Business Services, Corporate banking, Wealth Management, Group Functions, Retail and Investment Banking. On behalf of this organisation, AMS are looking for a Liquidity Data Analyst (SQL) for a 6 Months contract based in London (Hybrid - 3 times per week in the office). Purpose of the role: As Liquidity Data Analyst you will support the modernisation of liquidity reporting and data capabilities. This role sits at the intersection of liquidity risk, regulatory reporting, and advanced data analytics, with a strong focus on enhancing data structures, improving reporting accuracy, and evolving the liquidity data dictionary.

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