DataVisor is a leading AI-Powered fraud and risk management platform that enables organizations to respond to fast-evolving cyber attacks and mitigate risks as they happen in real time.
Our mission is to protect large consumer facing enterprises protect their business and their customers from digital threats and restore trust and safety online.
DataVisor is venture-backed by New View Capital and Sequoia and is Series- C funded.
It is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

DataVisor

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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.

DataVisor is a leading AI-Powered fraud and risk management platform that enables organizations to respond to fast-evolving cyber attacks and mitigate risks as they happen in real time.  Our mission is to protect large consumer facing enterprises protect their business and their customers from digital threats and restore trust and safety online. DataVisor is venture-backed by New View Capital and Sequoia and is Series- C funded. It is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe. 

• Work under the direction of mentors to test state-of-the-art product
• Design and develop robust automated test scripts based on the QA team's manual test cases.
• Implement UI tests using selenium to ensure our applications' user interface meets our quality standards.
• Develop API tests to validate the functionality, reliability, performance, and security of our APIs using tools like Postman, Cucumber etc..
• Work closely with the QA team to understand the test requirements and convert manual test cases into automated scripts.
• Continuously improve and expand our automation test framework to enhance test execution speed, scalability, and reliability.
• Identify, record, document thoroughly, and track bugs through to resolution.
• Stay up-to-date with new testing tools and test strategies, and integrate them into the test process where beneficial.
• Provide detailed reports and metrics on test execution, coverage, and areas for improvement to the QA and development teams.

Automation Test Engineer Internship

Internship for Automation Test Engineer testing state-of-the-art product in AI-driven Fraud and Risk Platform. Collaborate with QA to enhance testing through automation using modern tools.

technical-project-manager

• Manage and drive client communications throughout the entire delivery, align different client stakeholders, ensure project is delivered successfully without delay.
• Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
• Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
• Take the project management role to ensure the client onboarding project runs as expected and under control.
• Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
• Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
• Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
• Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Senior Technical Project Manager – Client Service Delivery

Technical Project Manager managing client communication and engineering delivery at AI-powered Fraud and Risk Platform. Collaborating with clients and teams for successful project execution.

engineer

• Work with the Solution Architect to design the delivery solution for the clients.
• Onboarding for the new client or new use case of existing clients.
• Coordinate with internal teams like R&D, infrastructure, algorithm and other teams, to debug and fix issues for the clients.
• Coordinate with the vendors for any issue/requirement and fix/finish.
• Coding for the integration with the client system.
• Create documents for the process of each project, including design doc, architecture, training doc etc.

Delivery Engineer Internship

Delivery Engineer intern leveraging AI fraud detection solutions for Fortune 500 clients. Collaborating with engineering teams to implement innovative solutions in FinTech and E-commerce.

full-stack-engineer

• 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 real-time streaming technologies (e.g. Kafka, Flink)

Senior Software Engineer

Machine Learning Engineer developing machine learning systems at DataVisor for real-time fraud detection. Collaborating with a global team to innovate fraud detection solutions.

qa-engineer

• Own end-to-end quality strategy across product releases (planning, execution, release readiness).
• Establish and continuously improve QA processes to reduce defects and release risk.
• Lead strong defect management practices (triage, prioritization, root cause analysis, prevention).
• Drive an automation-first approach to increase regression and critical-path coverage.
• Apply AI tools to improve testing efficiency (e.g., test generation, regression optimization, defect clustering, RCA insights).
• Define and track QA KPIs (defect leakage, escaped defects, automation coverage, flake rate, cycle time, release stability) and use data and dashboards to drive measurable improvements.
• Lead, coach, and develop the QA team with clear goals and accountability.
• Collaborate closely with Engineering, Product, DevOps, and Support.
• Ensure QA is involved early in requirement and design discussions and clearly communicate quality risks, status, and release readiness.

Quality Assurance Manager

QA Manager leading end-to-end quality strategy across product releases at DataVisor. Driving automation and leveraging AI for efficiency in quality assurance processes.

• Manage and drive client communications throughout the entire project delivery, align different client stakeholders, ensure project is delivered successfully without delay.
• Work closely with clients, sales teams, and other stakeholders to ensure successful project outcomes.
• Understand the client's product and business logic to recommend the best solution that addresses specific client needs. Provide strong solution and consulting services.
• Take the project management role to ensure the client onboarding project runs as expected and under control.
• Provide technical expertise and guidance throughout the implementation and deployment phases, to integrate with the client systems.
• Work closely with product and engineering teams to ensure seamless integration of new features and technologies into existing systems.
• Stay updated on financial services industry trends and emerging technologies to continuously improve our solutions and offerings.
• Conduct presentations and demonstrations of proposed solutions to clients and stakeholders.

Technical Project Manager – Client Service Delivery

Technical Project Manager leading client communications and project delivery for AI-driven Fraud and Risk solutions. Collaborating with engineering teams to ensure seamless integration of client systems.

DataVisor is a leading AI-Powered fraud and risk management platform that enables organizations to respond to fast-evolving cyber attacks and mitigate risks as they happen in real time. Our mission is to protect large consumer facing enterprises protect their business and their customers from digital threats and restore trust and safety online. DataVisor is venture-backed by New View Capital and Sequoia and is Series- C funded. It is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

DataVisor

About the company

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6 jobs found

Automation Test Engineer Internship

DataVisor

Senior Technical Project Manager – Client Service Delivery

DataVisor

Delivery Engineer Internship

DataVisor

Senior Software Engineer

DataVisor

Quality Assurance Manager

DataVisor

Technical Project Manager – Client Service Delivery

DataVisor