Data Analyst - Basel Risk - Banking/Financial Services

Key Responsibilities:

• Create, maintain, and enhance Basel datasets to support risk model development and validation activities.
• Perform data creation, extraction, transformation, manipulation, and analysis using large and complex datasets.
• Develop and execute data validation and quality checks to ensure data accuracy, completeness, and consistency.
• Analyze data and identify trends, anomalies, gaps, and data quality issues.
• Apply data governance principles to ensure data integrity, lineage, and consistency across Basel datasets.
• Work closely with Risk, Data, and Model Development teams to understand and deliver Basel-related data requirements.
• Support the preparation, documentation, and maintenance of Basel data requirements and processes.
• Develop and maintain data processing and analysis scripts using Python and SQL.
• Investigate and resolve data-related issues impacting risk models and Basel reporting requirements.
• Ensure adherence to established data quality, governance, and control standards.
• Support continuous improvement of Basel data processes, controls, and analytical methodologies.

Required Skills:

• 4+ years of experience in Banking / Financial Services, preferably in risk, regulatory, or data analytics environments.
• Basic understanding of the Basel II/III framework and its application within banking and risk management.
• Strong hands-on experience in Data Manipulation, Data Creation, Data Analysis, and Data Governance.
• Strong proficiency in Python for data processing and analysis.
• Strong proficiency in SQL and experience working with large datasets.
• Experience with data validation, reconciliation, quality checks, and data controls.
• Ability to work with complex datasets and perform detailed data analysis.
• Strong analytical and problem-solving skills.
• Good understanding of data quality, governance, and data management concepts.
• Strong communication and collaboration skills to work effectively with Risk, Data, and Model Development teams.
• Exposure to SAS is preferred but not mandatory.