The banking and financial industry is subject to a large number of regulations, including several recent data quality regulations, which makes it difficult for organisations to judge the effort and cost involved in compliance to multiple, often overlapping, regulatory obligations. The aim of this paper is to identify and analyse data quality related regulations, and map them against a common set of data quality dimensions to expose overlaps and inconsistencies to inform compliance efforts. In our study we identify seven global data quality regulations/frameworks applicable to the banking and financial industry and conduct a systematic analysis of data quality stipulations within. Our study explores the breadth and depth of coverage of data quality dimensions in the regulations, and identifies inherent overlaps and inconsistencies. We argue that understanding of data quality requirements within and across the regulations is an essential first step towards the design of new approaches for compliance centric data quality management.