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.