Quality Assurance Engineer Internship, DataVisor

Salary not provided
Java
Remote in Canada
DataVisor

ML-powered fraud detection

Open for applications

DataVisor

ML-powered fraud detection

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Open for applications

Salary not provided
Java
Remote in Canada

101-200 employees

B2BArtificial IntelligenceSecurityEnterpriseBig dataDeep TechAnalyticsMachine LearningSaaSAPICyber SecurityIdentityFraud

Company mission

To deliver the world’s most sophisticated AI-powered solutions to keep companies and their customers safe from fraud and abuse.

Role

Who you are

  • Currently co-op students or students enrolled in a post-secondary program (BS or MS) who are majoring in computer science, mathematics, statistics, information management, or a related field of Canada Canada-based college or university
  • 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
  • 1-2 years of Java experience
  • Strong communication and interpersonal skills
  • Ability to work independently and as part of a team
  • Detail-oriented and intellectually curious
  • Solid knowledge of quality management

What the job involves

  • According to product design or requirements, conduct requirement analysis, design and execute test cases
  • Help to improve the product user experience
  • Work with product manager, development engineers and project manager to solve the problem on time
  • Maintain and optimize the existing automation framework
  • Assist in building the interface of automation framework
  • Design, implement and maintain automated test code

Our take

As the use of online shopping and banking continues to rise, so too does the opportunity for fraud, with criminals exploiting the gaps in defences that come with an increasingly novel digital environment. DataVisor provides the leading fraud detection solution that leverages machine learning to identify threats, to overcome the security gap caused by the speed at which today’s digital fraudsters evolve.

Traditional fraud solutions have not been designed to handle digital data, and they are especially ill-equipped to deal with quickly changing environments. By employing advanced ML, DataVisor can identify the patterns which allude to fraudulent behaviour, allowing organisations to respond immediately and prevent losses before they happen. Another problem with some systems has been that, in the name of security, they might delay ultimately good customers from accessing services. With DataVisor this becomes a non-issue, as the pattern of a non-malicious user can also be identified with speed.

DataVisor has seen considerable investment - that will fuel its continued expansion across the globe - and has an impressive list of customers. The company has also made several partnerships that will act towards strengthening its product offering. For example, it is extending its analytics and fraud detection through partnership with Equifax, by gaining access to its rich consumer identity data.

Steph headshot

Steph

Company Specialist

Insights

Led by a woman
Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Dec 2022

$40m

LATE VC

Feb 2018

$40m

SERIES C

Total funding: $94.5m

Company benefits

  • Stock Options
  • Commuter Passes
  • Paid Time Off
  • Catered Lunch and Dinner
  • Team and Company Outings

Company values

  • Take a results-driven approach.
  • Prioritise team spirit and hard work.
  • Be honest, curious, and maintain the highest levels of integrity.

Company HQ

Mountain View, CA

Leadership

Extensive experience in security and AI. Previously a Senior Researcher at Microsoft Research.

Fang Yu

(CPO)

Former Senior Researcher at Microsoft Research, with vast experience in big-data algorithms.

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