DataVisor
DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.
Consumer-Facing Online Service Protection • Big Data Security • Internet Security • Mobile App Security • Fraud Detection
Software Engineer Intern
May 4, 2024
DataVisor
DataVisor is an advanced fraud and risk management platform leveraging AI and machine learning to provide real-time solutions for financial institutions and other large organizations. The platform offers a comprehensive suite of tools to tackle various types of fraud, including account takeovers, application fraud, ACH and wire fraud, card fraud, and check fraud. DataVisor also provides solutions for AML (Anti-Money Laundering) compliance, helping banks, credit unions, fintech companies, and digital payment services detect and prevent fraudulent activity. Through its innovative machine learning algorithms and real-time data orchestration, DataVisor allows organizations to streamline their operations, reduce fraud losses, increase approval rates, and maintain compliance, all while protecting the integrity of their systems and user data. The company emphasizes quick and efficient integration with existing systems and provides educational resources to stay ahead of emerging threats, making it a valuable partner for modern financial operations.
Consumer-Facing Online Service Protection • Big Data Security • Internet Security • Mobile App Security • Fraud Detection
📋 Description
• Design and build machine learning systems that process data sets from the world’s largest consumer services • Use unsupervised machine learning, supervised machine learning, and deep learning to detect fraudulent behavior and catch fraudsters • Build and optimize systems, tools, and validation strategies to support new features • Help design/build distributed real-time systems and features • Use big data technologies (e.g. Spark, Hadoop, HBase, Cassandra) to build large scale machine learning pipelines • Develop new systems on top of realtime streaming technologies (e.g. Kafka, Flink)
🎯 Requirements
• BS/MS students majoring in Computer Science, Engineering or a related subject, Current Co-op students or students enrolled in a post-secondary program (BS or MS) who are majoring in computer science, information management, or a related field of Canada Canada-based college or university.ideally in his/her last school year • Canadian citizen, permanent resident, or person with refugee protection given under the law and legal bale to work in Canada according to the laws and regulations of the province or territory where you live. • Proven working experience in Java, Shell, Python development • Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate) is a plus • Experience in Cassandra, HBase, Flink, Spark or Kafka is a plus. • Experience in the Spring Framework is a plus • Experience with test-driven development is a plus • Strong communication and interpersonal skills.
🏖️ Benefits
• Gain valuable hands-on experience • Work closely with experienced professionals in the field. • Opportunity to contribute to real projects • Flexible schedule and hybrid work.
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