Assitant Manager Fraud Analytics

About the role

To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.

What you'll do

• Identification, collection, extraction of data from various sources, including internal and external sources
• Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis
• Development and maintenance of efficient data pipelines for automated data acquisition and processing
• Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data
• Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities

What you need

• Analytics
• Reporting
• Data analysis
• Machine learning
• ETL
• Data privacy
• Any graduate

Good to have

• Power BI
• Excel
• Risk management
• PowerPoint
• Tableau
• SQL