- Manage new and existing datasets and ensure data integrity for analysis and modelling.
- Work with large data sets to manipulate, transform and enrich structured data, and identify classifiers, patterns and trends.
- Conduct supervised and unsupervised models on consumer transaction and repayment behavior, and design ML techniques to predict the performance of future similar consumers
- Support the Risk team in building scorecards for fraud detection, credit assessment and collection activity
- Automate the daily reports on Power BI with relevant data visualization
- Create a dashboard displaying a 360 degree on the client's position
- Ensure compliance with all applicable AML/CTF rules and regulations as required in the conduct of your role.
Qualifications
- Bachelor’s degree in computer science/engineering or a relevant field.
- 1-3 years of experience in a similar role.
- Extensive knowledge of statistics and machine learning techniques.
- Proficiency in Python programming and writing advanced SQL queries.
- Strong understanding of data analysis and visualization using Microsoft Power BI.
- Strong analytical and communication skills.
Excellent command of Arabic and English