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 Youll 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 Youll 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.