Description

You will perform complex data analysis and regulatory reporting within a large-scale banking environment.

Responsibilities

• Execute data profiling, Source to Target (S2T) mapping, and analysis of System of Record (SOR) data to identify quality issues.
• Develop testing strategies, document test cases, and maintain testing artifacts for automation projects.
• Analyze and document solution architecture components, including data patterns and the standardization of disparate datasets.
• Apply Basel Standardized and Advanced approaches to evaluate Market Risk, CVA Risk, Counterparty Credit Risk, and Credit Risk.
• Collaborate with stakeholders using Agile delivery methodologies to support data migration and analytics projects.

Required Skills

• 8+ years of experience in data analysis within large-scale banking organizations.
• Expertise in SQL querying, including hands-on experience with Oracle SQL, HiveQL, and DBeaver.
• Deep knowledge of Basel Regulatory Capital frameworks, specifically Standardized and Advanced approaches.
• Proficiency in SQL and NoSQL environments.
• Experience with US Regulatory Reports such as Y9C, Y14, Y15, and 2052a.
• Advanced MS Excel and Power Query skills.
• Strong understanding of relational database concepts and data quality (DQ) rules.
• Experience working within Agile delivery frameworks.
• Any Graduate degree.

Preferred Skills

• Experience with big data environments including Hadoop or Cornerstone.
• Exposure to US regulations and banking product knowledge.

Key Skills

Education

Any Graduate