Fraud Analytics Lead - Remote Europe

Lever, Inc.

Spain (TX)

Remote

USD 51,000 - 74,000

Full time

3 days ago
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Benefits offered by this job

Remote Europe
Fraud analytics ownership
Product strategy exposure
International collaboration
Impact on fraud decisions
Evolving fraud patterns
Data-driven impact

Job summary

Lever, Inc.–led project for a Data Analyst based in Spain–offers ownership of the fraud analytics within a growing user segmentation system. You will analyze behavioral and fraud-related signals to distinguish legitimate users from suspicious activity, shaping product decisions and verification strategies across markets.

You will collaborate with product, data, and analytics teams to refine detection signals, review processes, and fraud prevention tools in a fast-moving international environment.

Qualifications

  • Hands-on experience using data to investigate fraud and influence fraud detection decisions.
  • Experience designing, refining, or evaluating fraud signals and segmentation frameworks.
  • Strong analytical skills to investigate complex or ambiguous user behavior.
  • Ability to collaborate across product and data teams to turn analysis into actionable solutions.

Responsibilities

  • Refine fraud signals to distinguish suspicious activity from legitimate users.
  • Analyze signals such as IP spoofing, VPN usage, unusual gameplay patterns.
  • Own the fraud components of the user segmentation system and monitor performance.
  • Work with product and data teams to determine verification approaches for different markets.
  • Investigate ambiguous cases to improve review processes and efficiency.
  • Identify gaps in available fraud signals and assess third-party tools to strengthen the roadmap.
  • Translate analytics into practical fraud controls and recommendations.

Skills

Fraud analysis
Signal design
User segmentation
Cross-functional collaboration
Data-driven decisions

Job description

Lever, Inc.–led project for a Data Analyst based in Spain–offers ownership of the fraud analytics within a growing user segmentation system. You will analyze behavioral and fraud-related signals to distinguish legitimate users from suspicious activity, shaping product decisions and verification strategies across markets.

You will collaborate with product, data, and analytics teams to refine detection signals, review processes, and fraud prevention tools in a fast-moving international environment.

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