Fraud Data Scientist

Recruiter:

Network Recruitment

Job Ref:

NFP014981/Crush

Date posted:

Friday, September 27, 2024

Location:

Johannesburg, South Africa

SUMMARY:
Join Our Team as a Fraud Data Scientist – Shape the Future of Fraud Detection!

POSITION INFO:
Are you a data-driven problem solver with a passion for fighting fraud?
We are looking for a skilled Fraud Data Scientist to enhance our Transactional Fraud Mitigation services. Your expertise will play a pivotal role in balancing seamless customer experiences with robust fraud prevention on real-time electronic payment platforms.

What You’ll Do:

Leverage data, machine learning, and statistical techniques to improve fraud detection.
Design algorithms and real-time decision systems to flag high-risk transactions.
Develop, optimize, and maintain national-level fraud detection models.
Collaborate with stakeholders to ensure fraud risks are minimized without disrupting the customer journey.
Use advanced computing, data engineering, and scientific methods to deliver proactive fraud solutions.

What You’ll Need:

A degree (Honours, Masters, or PhD) in Statistics, Computer Science, Engineering, or Mathematics.
Experience in machine learning, decision models, and data engineering.
Proficiency in Python, RStudio, SQL, Oracle, Hadoop, and cloud infrastructure.
Strong analytical skills and experience in fraud detection models, prescriptive/statistical modeling, and big data analytics.
At least 5 years of data science experience, preferably in the financial industry focusing on payment fraud.

Key Skills:

Exceptional problem-solving, communication, and interpersonal abilities.
Stakeholder management and a solution-driven mindset.
Ability to thrive in a fast-paced environment and manage multiple tasks.

Ready to make an impact? Apply now!
Help us detect fraud, protect customers, and drive innovation in payment security.

For more opportunities, visit

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