Responsibilities:
Develop and optimise fraud detection models for payment streams. Analyse 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.
Fraud Data Scientist position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-01-17 in the It Computing Software category
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Posted on 2025-01-08
Job Summary
Responsibilities:
Align deliverables to business strategy with regular reviews. Provide expertise on fraud and analytics-related projects. Develop and optimize fraud detection models for payment streams. Manage client risk profiles and adjust detection models accordingly. Troubleshoot system anomalies and support data acquisition. Monitor system performance and contribute to data wrangling and validation. Communicate technical information to business and technical teams. Contribute to publications on actionable insights and data science use cases. Qualifications/Knowledge: Must have AWS experience. MSc or BSc in Applied Mathematics, Statistics, Actuarial Science, or related fields. Expertise in data analytics, data engineering, and fraud detection systems. Strong communication and organizational skills. Ability to work independently and collaborate in team settings. Experience: Minimum 5 years` experience in data science or related field. Expertise in big data analytics, statistical modelling, and programming (Python, R). Experience with fraud detection models, data wrangling, and SQL. Familiarity with machine learning techniques and platforms (e.g., Oracle, NetReveal) is a plus. Experience in the financial industry is advantageous. How to Apply:
Fraud Data Scientist position available in Gauteng, Johannesburg. This job position was posted by . The job has been posted on 2025-01-08 in the It Computing Software category
Click Go Apply to apply online!
You might also like these jobs in the same area.
Apply directly for this position. Please read all instructions carefully.
We do not process job applications; we simply aggregate and display job listings.
More related positions
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