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Advanced Fraud Detection Specialist

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**Senior Fraud Risk Modeler Job Summary**

As a seasoned risk professional specializing in fraud detection, you will design, develop, and maintain advanced models to prevent and detect financial crime across various products and channels.

  • Create, implement, and validate sophisticated fraud detection and prevention models using statistical and machine learning techniques for credit card products.
  • Analyze large-scale transactional data to identify fraudulent patterns, assess model performance, and provide actionable insights.
  • Evaluate existing fraud controls, monitor trends, and quantify exposure to evolving threats across digital and traditional channels.
  • Effectively present analytical findings and model performance to stakeholders, including risk, compliance, and executive leadership.
  • Maintain comprehensive documentation of model development processes, risk assumptions, fraud detection frameworks, and regulatory requirements.

In this role, you will use your expertise in data science, Python, SQL, and real-time decision engines to drive business results. A strong understanding of fraud domain expertise is essential for debit card product.

Key responsibilities include:

  • Leading fraud analytics initiatives and mentoring junior analysts or data scientists.
  • Collaborating with risk, IT, and fraud operations teams to drive business outcomes.
  • Proactively identifying vulnerabilities in fraud strategies and recommending enhancements.
  • Staying current with the latest fraud schemes, detection technologies, and regulatory developments impacting fraud risk management.

If you are passionate about preventing financial crime and have a strong background in data science, we encourage you to apply for this exciting opportunity.