Job Overview
Specialist — Fraud Analytics & Financial Crime Technology
Location: Doha, Qatar
Seniority Level: Senior Specialist
Employment Type: Full-time, Permanent
Industry: Fintech, Payments, Digital Banking, Financial Crime Technology
Work Model: Remote-first / Regional
The Opportunity
Digital financial ecosystems generate enormous volumes of transactional data. This position is focused on converting that data into early-warning intelligence capable of identifying suspicious behaviour, emerging fraud patterns, and abnormal transaction activity.
The successful candidate will operate between fraud operations, data analytics, technology, and financial-crime risk.
Core Responsibilities
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Analyse transactional data to identify unusual behavioural patterns.
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Develop analytical approaches for detecting payment fraud and account abuse.
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Investigate emerging fraud typologies and their digital signatures.
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Monitor transaction-monitoring performance and detection effectiveness.
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Work with data scientists to improve fraud-detection models.
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Develop rules, thresholds, indicators, and analytical scenarios for suspicious activity.
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Conduct retrospective analysis of confirmed fraud cases to identify control weaknesses.
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Analyse customer, device, transaction, geographic, behavioural, and network-level indicators.
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Support development of real-time fraud-monitoring capabilities.
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Produce analytical reports for fraud, risk, compliance, and executive stakeholders.
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Track false-positive rates and recommend optimisation strategies.
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Collaborate with cybersecurity and engineering teams to strengthen preventive controls.
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Participate in investigations involving payment fraud, identity abuse, account takeover, and transaction manipulation.
Required Background
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Bachelor’s degree in Data Analytics, Statistics, Computer Science, Finance, Economics, Cybersecurity, or a related discipline.
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4–8 years of experience in fraud analytics, transaction monitoring, financial crime, risk analytics, payments, or fintech.
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Strong SQL and analytical capabilities.
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Experience with Python, statistical analysis, BI platforms, or machine-learning tools is desirable.
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Understanding of payment ecosystems and digital transaction behaviour.
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Strong investigative reasoning and attention to anomalous patterns.
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Ability to communicate technical findings to non-technical stakeholders.
Preferred Expertise
Fraud Detection | Transaction Monitoring | SQL | Python | Behavioural Analytics | Anomaly Detection | Payments | Risk Intelligence | Data Visualisation
Indicative Compensation
QAR 28,000–40,000 monthly + benefits, dependent on expertise and role scope.
Professional Objective
The Specialist will strengthen the organisation’s ability to move from reactive fraud investigation toward predictive, data-driven financial-crime prevention.
Are you excited about this opportunity?
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