Become a pivotal part of DataVisor's team as a Fraud Detection Software Engineer. Lead the development of advanced algorithms for real-time fraud prevention and detection. In this role, you will focus on enhancing the architecture that powers DataVisor’s unique machine learning capabilities.

Working with an award-winning team, your contributions will help refine detection algorithms and automate processes. Utilize big data technologies while developing novel solutions to stay ahead of evolving fraud threats. Key Responsibilities:

- Design and enhance machine learning systems for fraud detection
- Implement unsupervised and supervised learning algorithms
- Optimize systems and validation strategies for efficiency
- Build real-time distributed systems and features
- Create large-scale machine learning pipelines with big data tools Requirements:
- 1-5 years of software development experience
- Knowledge of Java, Shell, and Python
- Excellent relational database skills with SQL
- Experience with tools like Spark or Kafka
- Familiarity with test-driven development practices Play a critical role in shaping the future of fraud detection at DataVisor.

📌 Fraud Detection Software Engineer (Vancouver)
🏢 DataVisor
📍 Vancouver