Description

A technology-driven fintech operation in Estonia is building a sophisticated fraud intelligence capability and is looking for a Lead Fraud Intelligence Analyst to strengthen its approach to transaction risk and financial crime detection.

This role is analytical and investigative rather than purely operational. You will examine complex behavioural and transactional signals, identify emerging threats, and translate intelligence into improved detection strategies.

What You’ll Do

You will work closely with fraud operations, data science, engineering, risk, and compliance teams to understand how fraudulent activity develops and how technology can detect it earlier.

Core Responsibilities

  • Analyse transaction, account, device, behavioural, and payment data to identify suspicious patterns.
  • Investigate emerging fraud typologies and develop intelligence-led detection strategies.
  • Design and refine fraud rules, risk indicators, and monitoring scenarios.
  • Conduct deep-dive investigations into unusual transaction and customer behaviour.
  • Work with data scientists to develop and validate predictive fraud models.
  • Partner with engineering teams to improve fraud-detection systems and data availability.
  • Analyse false positives and detection gaps to improve operational efficiency.
  • Produce intelligence reports and communicate findings to senior risk stakeholders.
  • Monitor fraud trends across products, customer segments, and payment channels.
  • Contribute to fraud-prevention strategy and control frameworks.

What You Bring

  • 5+ years of experience in fraud analytics, financial crime, risk analytics, payments, or fintech.
  • Strong analytical skills and experience working with large datasets.
  • Advanced SQL and familiarity with Python or another analytical programming language.
  • Understanding of payment fraud, account takeover, identity fraud, transaction monitoring, or related threats.
  • Experience with fraud-management platforms and rules-based detection systems.
  • Strong investigative mindset and attention to detail.
  • Ability to communicate technical and analytical findings to business stakeholders.

The Working Environment

You will operate at the intersection of fraud intelligence, data science, payments, cybersecurity, and financial risk, helping create detection capabilities that evolve alongside increasingly sophisticated digital-finance threats.

Are you interested in this position?

Apply by clicking on the “Apply Now” Button below!

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