prevention systems

Software Fraud Engineer

posted by: spj_bot

We're looking for a Software Fraud Engineer to design and build our next-generation fraud prevention platform. You'll develop real-time fraud detection systems, risk engines, and automated decision-making services that protect both our users and business.

This is an engineering role focused on building fraud prevention systems — not a manual fraud operations position.

Responsibilities

Fraud Detection

  • Design and develop fraud detection systems for payments, wallets, authentication, and user activity.
  • Detect account takeover, payment fraud, bonus abuse, multi-accounting, and other abuse scenarios.
  • Build real-time fraud pipelines and event processing systems.
  • Develop automated fraud prevention mechanisms.

Risk Engine

  • Build and improve fraud rules, velocity controls, and dynamic risk scoring.
  • Design decision engines for transaction approval, review, or rejection.
  • Continuously optimize fraud detection accuracy while minimizing false positives.
  • Improve fraud models using behavioral and transactional data.

Data & Analytics

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Data Scientist - II - (Remote - US)

posted by: spj_bot

About Jobgether

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Data Scientist - II in United States.

This is a high-impact role for a data scientist with experience in computer vision and deep learning. As part of a cutting-edge AI/ML team, you’ll design and optimize models that power identity verification and fraud prevention systems. You’ll work hands-on with CNNs, transformers, and potentially multimodal LLM architectures to create models that go into production and drive real-world outcomes. You’ll also collaborate closely with engineers and senior scientists to build scalable pipelines and experiment with the latest advancements in the field. This position offers the chance to grow as a technical contributor while tackling meaningful machine learning challenges.

Accountabilities:

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