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
data analytics and BI platforms
automation tools and techniques
statistical and advanced analytics
data pipelines automation
risk management / control assurance
Nice-to-have
Gitlab and cloud concepts
training end users
data extraction strategies
predictive models development
collaboration with business stakeholders
Key Requirements
Experience in risk management / control assurance
Experience in automation tools
Experience in data analytics and BI platforms
Mandatory knowledge of SQL
Mandatory knowledge of Python Programming
Experience on at least one complete Data Analytics project