About The Position

Softeta is looking for an experienced Analytics Engineer to take ownership of fraud analytics, forensic investigations, and attack pattern detection. The role provides immediate analytical support, independently handles fraud investigations, and helps reduce the workload of backend engineering teams. Softeta is a software engineering partner serving finance, energy, industrial, and other high-stakes sectors. The company builds and modernizes backend-heavy, integration-critical systems, and has more than 100 AI and custom software experts across engineering hubs in Lithuania and Poland. Its services include custom software, automation, and AI. The company also created Cobble, an AI-native development workflow for standardizing how developers work with AI agents from requirements to working code.

Requirements

  • At least 5 years of experience in Analytics Engineering, Data Analytics, or Fraud Analytics.
  • Strong hands-on experience in fraud analysis and forensic investigations.
  • Proven ability to identify suspicious activities and attack patterns.
  • Strong analytical and problem-solving skills.
  • Ability to work independently and take immediate ownership of investigations.

Responsibilities

  • Investigate fraudulent activities and suspicious transactions.
  • Identify and analyze fraud patterns, attack methods, and anomalies.
  • Perform data-driven forensic investigations and root cause analysis.
  • Analyze large datasets to identify trends and potential threats.
  • Provide actionable insights and recommendations for fraud prevention.
  • Collaborate with backend engineering teams and reduce their investigative workload.
  • Document findings and communicate investigation results.

Benefits

  • Diverse and technically challenging projects.
  • Flexible working hours and a hybrid or remote workplace model.
  • Flexible schedule and an Agile/SCRUM environment.
  • Technical equipment that you can choose.
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