Fraud Prevention Specialist

2 months ago

Toronto, Ontario, Canada DataVisor Full time
About DataVisor

DataVisor is the leading AI-powered Fraud and Risk Platform globally, offering unparalleled detection coverage. The platform's open SaaS architecture allows easy data consolidation and enrichment, enabling organizations to swiftly address evolving fraud and money laundering activities in real time. With patented unsupervised machine learning technology, advanced device intelligence, a robust decision engine, and investigation tools, DataVisor delivers performance enhancement from day one. The platform is designed to support various use cases across different business units, significantly reducing total cost of ownership compared to traditional solutions. Many Fortune 500 companies worldwide trust and rely on DataVisor.

Our award-winning software platform is driven by a team of experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-oriented. We are a forward-thinking organization that is dedicated to innovation and excellence.

Job Summary:

As a Fraud Strategy Manager (FSM), you will utilize our cutting-edge fraud detection SaaS products to address our clients' fraud and risk issues effectively. You will offer technical solutions and advisory services on our advanced fraud detection SaaS products to a portfolio of Fortune 500 customers in the FinTech, Banking, and E-commerce sectors. From optimizing detection system performance to troubleshooting product issues, you are a seasoned professional providing technical guidance and sharing best practices on leveraging Machine Learning models, Rules Engine, and Device Intelligence Signals for fraud detection and risk mitigation. You will collaborate closely with Engineering and Product teams to introduce innovative concepts to our analytics system.

Key Responsibilities:
  • Comprehend client use cases and strategize plans to achieve success benchmarks
  • Drive technical discussions for in-depth fraud analysis to optimize detection module performance
  • Collaborate with our ML modeling team to monitor and improve detection accuracy
  • Lead the deployment of detection logic and rules to enhance fraud identification
  • Participate in meetups, events, and conferences as a technical advocate
Requirements:
  • Minimum 3 years of experience in fraud/risk management and fraud analytics within banking, payment, social, or e-commerce industries, focusing on fraud prevention utilizing machine learning models and/or rules to address issues such as payment fraud, transaction fraud, listing fraud, promotion abuse, and account takeover
  • Bachelor's degree in a technical or analytical field
  • Proficiency in data analytics using tools like SQL, Python, and R
  • Excellent communication and presentation abilities
  • Strong time management skills and project ownership mindset
What We Offer:

Enjoy bonus opportunities, stock options, 401k, and health benefits as part of our comprehensive compensation package.

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