The Quality Assurance Engineer will analyze system requirements, program and test software solutions, and improve user experience by maintaining the automation framework and developing test cases.

Lead the development of advanced machine learning models for fraud detection, collaborate with clients, and enhance data analysis through AI.

As an HR Manager, you will oversee HR practices, manage employee relations, drive performance management, and ensure workplace compliance.

The Senior Customer Success Manager serves enterprise clients, driving ROI through fraud detection, AML compliance, and operational optimization, while managing customer relationships and collaborating with internal teams.

The Fraud Strategy Manager leverages fraud detection products to solve client issues, provides technical solutions, and collaborates with teams.

The Solution Data Scientist will lead technical projects related to fraud and AML, collaborating with various teams to deliver tailored solutions and generate business impact.

The Regional Vice President will manage strategic enterprise accounts, drive revenue growth, ensure customer success, and identify upsell opportunities.

The Regional Vice President - EMEA will manage strategic enterprise accounts, drive revenue growth, and ensure customer success by developing account plans and relationships with C-level executives.

The Director of Strategic Accounts will manage key enterprise customer relationships, drive growth, ensure satisfaction, and identify upsell opportunities.

As a Software Engineer Intern, you will design and develop machine learning systems and work with big data technologies to detect fraud.

The Senior Product Manager at DataVisor will oversee data integration with third-party systems, ensure high-quality product delivery, and collaborate cross-functionally to enhance customer onboarding and marketing strategies.

Design and build advanced machine learning systems to detect fraud in real-time, optimize detection algorithms, and develop distributed systems.

Develop fraud and risk platform backend using Java and C++. Collaborate across teams to translate roadmap into deliverable features.

As a Senior Software Engineer, you'll design and build machine learning systems to detect fraud in real-time, focusing on data processing and system optimization.

Internship focused on quality assurance in software, including test case execution, user experience improvement, and automation framework maintenance.

Guide the evolution of AML products by defining strategies, conducting market research, collaborating across teams, and integrating AI-driven solutions for AML detection.

As a Software Engineer Intern, you'll build machine learning systems, optimize data processing, and contribute to fraud detection efforts.

Manage and facilitate the sprint process and QA testing for engineering teams, oversee system releases, and drive incident response activities.

Design and build machine learning systems to detect fraud, optimize tools, and develop real-time distributed systems using big data technologies.

Build machine learning systems for fraud detection, improve algorithms, and develop real-time systems using big data technologies.