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SOFTETA

Senior Analytics Engineer

SOFTETA

. Investigate fraudulent activities and suspicious transactions.

Posted 10/31/2026full-timeRemote • PolandSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in fraud analysis and forensic investigations, with a strong ability to analyze large datasets for trends and threats. Proven skills in providing actionable insights and collaborating with engineering teams to enhance fraud prevention efforts.

Highest-signal resume keywords
Fraud AnalysisForensic InvestigationsData AnalyticsAnalytical SkillsProblem-Solving Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Fraud DetectionData AnalysisRoot Cause AnalysisPattern RecognitionData-Driven Investigations
Soft Skills
Independent WorkOwnershipCollaborationCommunication
Industry Keywords
Fraud PatternsSuspicious TransactionsAnomaliesActionable InsightsThreat Identification

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • 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.