Mews
Hospitality
SeniorDataAnalyst,TransactionMonitoring&Fraud
“Senior Data Analyst, Transaction Monitoring & Fraud at Mews. Skills: Fraud detection, Transaction monitoring, Data analysis. Analyse transaction monitoring and fraud rule performance. Identify gaps, inefficiencies, and opportunities to improve detection”
What You'll Achieve.
Improve fraud detection; Reduce false positives; Help team focus on cases that matter most; Improve outcomes
Industry & Context.
Problem solving
What They're Looking For.
Must Have
Experience in fraud detection or transaction monitoring analytics, Advanced SQL skills, Python skills, Experience working with large datasets to identify patterns, outliers, and risk signals, Ability to move from analysis to action, Confidence working cross-functionally with operational, technical, and compliance stakeholders
Nice to Have
Fintech payments experience, Buy now pay later experience, E-commerce experience, Transaction monitoring or fraud solution provider experience
What You'll Do.
Analyse transaction monitoring and fraud rule performance
and opportunities to improve detection
and behavioural patterns
Improve case prioritization by risk
Reduce manual review volumes
Increase focus on high-risk activity
Partner closely with FinCrime
Bring in new data sources
Work with data engineers and technical teams
Support better pipelines
Support data quality checks
Support more reliable monitoring inputs
Support development of internal scoring approaches
Support future machine learning use cases
Translate complex analysis into clear recommendations
Improve fraud prevention
Minimise friction for legitimate customers
How You'll Work.
Team & Collaboration
Cross-functionally with operational, technical, and compliance stakeholders; With data engineers; With technical teams; With FinCrime; With Product; With Compliance; With Data teams
Communication Scope
Clear recommendations
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