
51 - 200 employees
💸 Finance
💳 Fintech
☁️ SaaS
💰 Series C on 2019-10
Finance • Fintech • SaaS
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.
🕒 December 11, 2025
🇨🇦 Canada – Remote
💵 $40k - $50k / year
⏰ Full Time
⚪️ Entry-level
🧑💻 Full-stack Engineer
🚫👨🎓 No degree required
👻 Ghost score 49%
Where this job comes from
Posted on DataVisor's careers page, not through a job board
First seen by Remote Rocketship December 11, 2025

51 - 200 employees
💸 Finance
💳 Fintech
☁️ SaaS
💰 Series C on 2019-10
Finance • Fintech • SaaS
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.
• Build and enhance real-time anti-fraud systems processing large-scale data • Develop and optimize backend services, internal tools, and validation frameworks • Contribute to distributed system components across multi-region cloud environments • Use big-data technologies (Spark, Hadoop, ClickHouse, Yugabyte) to build scalable pipelines • Build real-time data workflows using Kafka, Flink, and related technologies • Maintain development, testing, and delivery frameworks with a focus on quality and scalability
• Strong CS fundamentals (data structures, algorithms, OS, networking) • Proficiency in Java/Spring for backend development • Experience with MySQL and SQL optimization • Basic system design skills (scalability, reliability, performance) • Familiarity with testing, automation, and CI/CD • Strong communication skills and a collaborative mindset • Experience with messaging systems (Kafka or similar) • Familiarity with analytical/distributed databases (ClickHouse, YugabyteDB) • Exposure to big-data frameworks (Spark, Flink) • Basic understanding of ML concepts and modern AI/LLM tools • Experience with Kubernetes and cloud platforms (preferably AWS) • Ability to write automation scripts (Bash, Python)
• Hands-on experience in a dynamic and collaborative work environment • Opportunity to work closely with experienced professionals in the field • Exposure to real-world software testing scenarios • Competitive hourly rate, range 20-25 CAD per hour
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