FinCrime Data Analyst Lead

About the role

To 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. To oversee and lead the data analytics work supporting Financial Crime Agile Testing reviews.

What you'll do

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies
• Designing and building data pipelines to automate data movement and processing
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs

What you need

• SQL
• Data visualisation
• Data analysis
• Python
• SAS
• Tableau

Good to have

• Machine learning
• AML
• KYC
• Dashboarding
• Test automation
• AWS