Fraud Analytics Engineer

Flash Group; Wes-Kaap; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A leading data analytics firm in South Africa seeks a Technical Fraud Analyst to utilize advanced statistical techniques and machine learning to combat fraud. The candidate will analyze large datasets, develop predictive models, and work collaboratively to enhance fraud detection systems. Ideal applicants will have a Bachelor's degree in a relevant field and at least two years of experience in fraud or data analysis. Strong programming skills in languages such as R, SQL, Python, and Java are essential, alongside analytical skills and adaptability.

Qualifications

• Minimum two years’ experience in fraud/data-related field.
• Experience working with large datasets and databases is essential.

Responsibilities

• Analyse large datasets to identify patterns and anomalies.
• Research and incorporate new fraud detection techniques.
• Evaluate and improve accuracy of fraud detection systems.
• Ensure data integrity during the analysis process.
• Provide recommendations to enhance fraud prevention measures.
• Implement real-time analytics for fraud detection.
• Collaborate with internal teams on fraud prevention strategies.

Skills

Analytical and problem-solving skills

Programming languages (R, SQL, Python, Java)

Understanding of statistical methods

Familiarity with machine learning and AI

Education

Bachelor’s degree in a related field

Job description

A leading data analytics firm in South Africa seeks a Technical Fraud Analyst to utilize advanced statistical techniques and machine learning to combat fraud. The candidate will analyze large datasets, develop predictive models, and work collaboratively to enhance fraud detection systems. Ideal applicants will have a Bachelor's degree in a relevant field and at least two years of experience in fraud or data analysis. Strong programming skills in languages such as R, SQL, Python, and Java are essential, alongside analytical skills and adaptability.