deeplay

Fraud Analytics [Senior / Lead]

6.0/10
deeplay
Not specified
Hybrid
senior
about 6 hours ago
analyticstechaiSQLPythonMachine Learning
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AI quality score6.0 / 10

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Overview

Join deeplay as a Senior/Lead Fraud Analyst to develop analytics and decision support tools in anti-fraud and behavioral analytics. Flexible work format and a supportive corporate culture await you.

Responsibilities

  • โ€ขDevelop analytics and decision support tools in anti-fraud and behavioral analytics โ€” scoring, segmentation, detection of atypical and abusive behavior.
  • โ€ขFormulate tasks for analytics, Data Scientists, and engineering teams based on business risks and operational cases.
  • โ€ขEvaluate the quality of signals and decisions considering the cost of errors, coverage, and practical applicability.

Conditions

  • โ€ขFlexible approach to work format and location โ€” choose any place on the map or one of the comfortable offices in Omsk, Novosibirsk, and St. Petersburg.
  • โ€ขCorporate culture: we communicate on equal terms, support each other, value feedback and initiative, and maintain a light atmosphere and humor.
  • โ€ขOpportunity to influence processes: if you see potential for improvement, you can implement your ideas to enhance efficiency and product quality.
  • โ€ขBecome part of a team that finds drive in its tasks and strives for technological leadership in the industry.
  • โ€ขAccessibility of company management and open internal policy.

Requirements

  • โ€ข4+ years of experience in one or more areas: anti-fraud, risk analytics, behavioral analytics, scoring, trust & safety.
  • โ€ขStrong SQL and confident work with behavioral, transactional, or event data.
  • โ€ขPython for data analysis.
  • โ€ขUnderstanding of ML metrics and model limitations.
  • โ€ขExperience in task formulation for analysts, Data Scientists, or Data Engineers.
  • โ€ขAbility to translate risk cases and domain patterns into formalized rules, signals, hypotheses, and requirements.
  • โ€ขExperience influencing processes, decisions, and operational efficiency through analytics.
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