RSK-Global Middle Office Professional

• Data Management & Quality
• Design and implement data quality frameworks and controls for credit risk data
• Monitor data quality metrics and create regular reports on data integrity
• Lead data quality issue resolution and manage escalation processes
• Develop and maintain data quality dashboards
• Partner with credit risk teams to understand data requirements
• Support credit risk reporting and analysis needs
• Ensure compliance with regulatory data requirements
• Maintain data governance standards for credit risk information
• Technical Implementation
• Develop and optimize SQL queries for data extraction and analysis
• Build automated workflows using Alteryx for data processing
• Create Python scripts for complex data transformations and joins
• Implement ETL processes for credit risk data integration
• Design and maintain target operating models

Mind Set:

Mandatory Desired Domain

• 7 to 10 years experience in data management, preferably in financial services
• Strong understanding of credit risk concepts and metrics
• Experience with ETL processes and data quality management
• Knowledge of data governance principles
• Strong problemsolving and analytical skills
• Strong communication abilities to work with stakeholders
• Understanding of credit risk principles
• Problemsolving and analytical thinking
• Project management capabilities
• Ability to translate business requirements into technical solutions
• Knowledge of Basel regulations
• Understanding of BCBS 239 principles

Technical

• SQL: Complex queries, joins, and data manipulation
• Python: Data processing, pandas, numpy etc
• Alteryx: Workflow design and automation
• ETL: Design and implementation
• Data Quality Tools: Profiling, monitoring, and reporting
• Experience with Agile methodologies
• Experience in stakeholder management
• Previous experience in financial services industry
• Knowledge of regulatory reporting requirements