Fraud Data Analyst

Description:

Fraud Data ScientistNetwork Recruitment | Gauteng, South Africa (Hybrid)Job Type: Permanent, Full TimeRole Overview:Our client is seeking a Fraud Data Scientist to join their team. The successful candidate will play a crucial role in supporting transactional fraud mitigation services by leveraging data to uncover insights and develop solutions that enhance decision-making. This role focuses on optimizing fraud detection models to minimize fraud losses while maintaining minimal disruption to legitimate transactions. Key Responsibilities:

• Develop and optimize fraud detection models for payment streams.
• Analyze client risk profiles and adjust detection models and thresholds accordingly.
• Investigate system anomalies and troubleshoot issues effectively.
• Monitor system performance using industry-standard metrics and client-specific data.
• Manage data issues and incorporate new fraud data feeds as required.
• Provide technical communication and data wrangling insights for business teams.
• Support ad-hoc investigations and contribute to fraud/analytics projects.

Qualifications & Experience:

• MSc or BSc in Applied Mathematics, Statistics, Actuarial Science, or a related field.
• At least 5 years’ experience in fraud detection, data analytics, or statistical modeling.
• Proficiency in MS Office, SQL, and data wrangling techniques.
• Experience with big data analytics, scripting, and programming.

This role is key to national fraud prevention initiatives and offers opportunities to collaborate with key stakeholders, vendors, and internal teams.
To Apply:
Please send your CV to lolroux@networkfinance.co.za
If you have not heard from us within two weeks, please consider your application unsuccessful.

Requirements:

• Develop and optimize fraud detection models for payment streams.
• Analyze client risk profiles and adjust detection models and thresholds accordingly.
• Investigate system anomalies and troubleshoot issues effectively.
• Monitor system performance using industry-standard metrics and client-specific data.
• Manage data issues and incorporate new fraud data feeds as required.
• Provide technical communication and data wrangling insights for business teams.
• Support ad-hoc investigations and contribute to fraud/analytics projects.

• MSc or BSc in Applied Mathematics, Statistics, Actuarial Science, or a related field.
• At least 5 years’ experience in fraud detection, data analytics, or statistical modeling.
• Proficiency in MS Office, SQL, and data wrangling techniques.
• Experience with big data analytics, scripting, and programming.