Enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports
Job Summary
Enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.
Leverage innovative data analytics and machine learning techniques to drive actionable insights from the bank's data assets, working closely with key stakeholders across business and technology teams.
Design, develop and maintain business applications and solutions for ORRO (Operational Risk and Risk Oversight) function within the Risk department to improve operational risk monitoring and automate processes.
Matching Summary
Enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.
Skills & Requirements
Must-have
SQL and Python Programming languages
Tableau / Power BI
Risk management / control assurance
Data pipelines automation
Advanced analytical techniques
Machine learning / AI
Nice-to-have
Gitlab and cloud concepts
Web Apps based on Python
Power Apps and Power Automate
Training end users
Data extraction strategies
Predictive models development
Key Requirements
Experience in risk management / control assurance
Experience in automation tools and techniques
Experience in data analytics and BI platforms
Mandatory knowledge of SQL and Python
Experience on at least one complete Data Analytics project