Key Responsibilities:

• Conduct comprehensive analysis of independently sourced data, performing validation and testing to ensure quality, robustness, and fitness for intended use
• Develop a deep understanding of source data systems, metadata standards, and underlying models
• Collaborate with model development and monitoring teams to understand data requirements; address data quality issues; support new data ingests and asset creation; and ensure compliance with data governance protocols
• Build and maintain ETL pipelines for making data assets available within the GRADE platform
• Contribute to strategic roadmap development for data, application, and business process architecture aligned with target future-state environments
• Prepare clear, targeted materials for communication and reporting to business stakeholders across all levels of seniority
• Effectively manage relationships across cross-functional teams, fostering coordination and collaboration
• Work with senior management to prioritize key business and information needs
• Promote and support continuous improvement initiatives for processes and systems

Required Skills and Qualifications:

• Proven experience in a similar analytical or technical role
• Bachelor’s degree in Information Technology, Computer Science, or a related quantitative field; Master’s degree preferred
• Strong theoretical and practical proficiency in programming tools such as SAS, Python, PySpark, SQL, and Hadoop; familiarity with Prophecy is advantageous
• Demonstrated ability in business analysis, including requirement gathering and specification
• Ability to interpret and work with complex data architectures
• Excellent problem-solving, organizational, analytical, and project management skills
• Capacity to work under pressure and manage multiple tasks within tight deadlines
• Familiarity with project and documentation tools including JIRA, Confluence, and Monday.com
• Strong communication skills and openness to working in a multicultural and international team environment
• Experience in IT or analytics roles is desirable
• Preferable knowledge of banking risk data, systems, and risk models