Fraud Prevention Strategy Lead

3 weeks ago


Toronto, Ontario, Canada DataVisor Full time

About DataVisor:

DataVisor stands at the forefront of the global AI-driven Fraud and Risk Management landscape, providing unmatched detection capabilities. Our platform's open SaaS framework facilitates seamless data integration and enhancement, empowering organizations to promptly tackle the dynamic challenges of fraud and money laundering in real-time. Leveraging patented unsupervised machine learning technology, sophisticated device intelligence, a powerful decision-making engine, and comprehensive investigation tools, DataVisor ensures performance improvements from the outset. The platform is tailored to accommodate diverse applications across various business sectors, significantly lowering the total cost of ownership compared to conventional solutions. Numerous Fortune 500 enterprises worldwide place their trust in DataVisor.

Our award-winning software platform is supported by a team of specialists in big data, machine learning, security, and scalable infrastructure. We foster a culture that is open, positive, collaborative, and results-driven. Join us and contribute to our success narrative.

Position Overview:

As a Fraud Prevention Strategy Lead, you will harness our state-of-the-art fraud detection SaaS solutions to effectively resolve our clients' fraud and risk challenges. You will provide technical solutions and advisory services regarding our advanced fraud detection SaaS offerings to a portfolio of Fortune 500 clients in the FinTech, Banking, and E-commerce sectors. Your role will involve optimizing detection system performance and troubleshooting product-related issues, as you offer expert guidance and share best practices on utilizing Machine Learning models, Rules Engine, and Device Intelligence Signals for fraud detection and risk management. You will work closely with Engineering and Product teams to introduce innovative ideas to our analytics framework.

Job Location:

This role is remote and available to candidates across the US and Canada.

Key Responsibilities:

  • Understand client use cases and develop strategic plans to meet success metrics.
  • Facilitate technical discussions for comprehensive fraud analysis to enhance detection module performance.
  • Collaborate with our machine learning modeling team to track and improve detection accuracy.
  • Oversee the implementation of detection logic and rules to boost fraud identification.
  • Engage in meetups, events, and conferences as a technical representative.

Qualifications:

  • A minimum of 3 years of experience in fraud/risk management and fraud analytics within banking, payment, social, or e-commerce sectors, with a focus on fraud prevention using machine learning models and/or rules to tackle issues such as payment fraud, transaction fraud, listing fraud, promotion abuse, and account takeover.
  • A Bachelor's degree in a technical or analytical discipline.
  • Proficiency in data analytics utilizing tools such as SQL, Python, and R.
  • Exceptional communication and presentation skills.
  • Strong time management abilities and a proactive project ownership approach.

Compensation and Benefits:

Our comprehensive compensation package includes bonus opportunities, stock options, a 401k plan, and health benefits.



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