Fraud Detection Software Engineer

Become a pivotal part of Data Visor'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 Data Visor’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 Data Visor.
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