Data Analyst (banking)

Summary: This position seeks Data Analysts who will contribute to data analysis, governance, and system enhancements within the organization, focusing on the risk data platform.

Responsibilities:

• Collate, test, and check independently sourced data, assessing its robustness and fitness for purpose.
• Learn and understand source systems data, models, and standards.
• Understand data requirements from model development & monitoring teams, working on data quality issues, and liaising with project teams for new ingests or data assets.
• Develop ETL pipelines to make data assets available on the Risk Data Platform.
• Contribute to designing roadmaps for data, application, and business process architecture to support future state environments.
• Prepare effective material for dissemination to key business stakeholders at all levels of seniority.
• Manage relationships across key functional teams effectively.
• Work with management to prioritize business and information needs.
• Encourage and drive process improvement opportunities.

Must Have:

• 5+ years of hands-on data analysis experience.
• Bachelor’s degree in IT or a numerate subject; Master’s degree preferred.
• Proficiency in programming tools such as SAS, Python, PySpark, SQL, and Hadoop Big Data.
• Business analysis experience for requirements gathering and specification.
• Strong understanding of complex data architecture.
• Strong organizational, analytical, problem-solving, and project management skills.
• Ability to multitask and work under pressure within tight timelines.
• Experience with JIRA and Confluence.
• Effective communication skills and flexibility to work in an international team.

Nice to Have:

• Previous experience in IT/Analytics.
• Knowledge of banking risk data, systems, and risk models.
• Experience with Prophecy.