Senior Data Analyst, Transaction Monitoring & Fraud
New
M
MewsFinTech
Czechia; Spain; United KingdomFull-TimeSenior
SalarySpain: €41.500 — €54.100 EUR; Czechia: 57 500 000 Kč — 86 350 000 Kč CZK; UK: £45,000 — £59,500 GBP
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Job Details
- Required Skills
- PythonSQLArtificial IntelligenceData AnalysisMachine LearningCompliance
Requirements
- Strong experience in fraud detection or transaction monitoring
- Proven track record of improving rules, controls, or detection approaches using data
- Advanced SQL skills
- Strong Python skills
- Experience working across large datasets to identify patterns, outliers, and risk signals
- Ability to move from investigation to action and follow through to recommendations
- Comfort working cross-functionally with operational, technical, and compliance stakeholders
- Proficiency integrating AI into workflows to increase efficiency
- Background in fintech, payments, buy now pay later, e-commerce, or fraud solution providers is strongly preferred
Responsibilities
- Review transaction monitoring and fraud rule performance to identify gaps, inefficiencies, and opportunities to improve detection
- Investigate trends, anomalies, and behavioural patterns across transactions, properties, and customer activity
- Improve how cases are prioritised by risk, reducing manual review volumes and increasing focus on high-risk activity
- Partner with FinCrime, Product, Compliance, and Data teams to improve controls and bring in new data sources
- Work with data engineers to support better pipelines, data quality checks, and more reliable monitoring inputs
- Support the development of internal scoring approaches and future machine learning use cases as the function evolves
- Translate complex findings into clear recommendations that improve fraud prevention while minimising friction for legitimate customers
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