Remote Data QA @ Fraud Intelligence
-, Katowice
‎19 godz. temu
source : Just Join IT

Fraud Intelligence in Nethone

Fraud prevention systems succeed with quick adaptation to ever-changing situations. Traditional engines are no longer enough in this dynamically changing environment where fraud patterns change from day to day.

In Nethone, this idea has been with us since our inception. We are looking for talented people to join our Fraud Intelligence Team to fight fraud with the power of Data.

As a company, we specialize in fraud prevention. We enable online merchants to sell more, earn more, and maximize every dollar they invest in risk management and customer acquisition.

With us, you will experience a great variance of datasets - we protect Clients in e-commerce, crypto, ridesharing, digital lending, BNPL and many more.

In this position you’ll bring value by proposing and implementing solutions that help to mitigate fraud.

About the role :

We are looking for a Data QA who will help us get the most out of the data we gather. This role combines an analytical approach to identifying improvement areas and designing related solutions with a hands-on approach to ensuring those solutions are implemented.

You will cooperate directly with data scientists and engineers and have a significant impact on the shape of our product.

You’re going to be the first person in that role in Nethone which gives you remarkable growth opportunities.

In this position you'll bring value by making sure our fraud prevention solutions work properly by testing and looking into detailed data.

Responsibilities :

  • Execution of test scenarios that replicate real life fraud attempts
  • Design of new test cases
  • Analysis of observed fraud attacks and proposing potential mitigations
  • Requirements :

  • Attention to detail and diligence
  • At least 1 year of QA experience within a commercial product environment
  • Knowledge of SQL
  • Nice to have :

  • Basic knowledge of Python (and willingness to learn more)
  • Knowledge of test automation
  • Analytical mindset
  • Our technology stack :

  • Python, Javascript
  • PostgreSQL
  • Docker, Kubernetes
  • AWS (for example, Athena, EMR)
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