Fraud Data Scientist

Job Title: Fraud Data Scientist Job Type: Permanent, Full Time Key Responsibilities: Develop and optimize fraud detection models for payment streams.
Analyze and manage client risk profiles by adjusting detection models and thresholds.
Investigate system anomalies and troubleshoot issues.
Monitor system performance using industry metrics and client-specific data.
Manage data issues and incorporate new fraud data feeds as needed.
Provide technical to business communication and data wrangling evaluations.
Support ad hoc investigations and contribute to fraud/analytics projects.
Qualifications & Experience: MSc or BSc in Applied Mathematics, Statistics, Actuarial Science, or equivalent.
Minimum 5 years experience in fraud detection, data analytics, or statistical modeling.
Proficiency in MS Office, SQL, and data wrangling.
Experience with big data analytics, scripting, and programming.
This role is critical to national fraud prevention efforts and provides opportunities to work with key stakeholders, vendors, and internal teams.
Please send your CV to lolrouxnetworkfinance.co.za Should you not hear from us within two weeks, please consider your application unsuccessful.