Query, extract, and correlate data across digital channel telemetry, card fraud alerts, case management records, core banking data, and online banking dataIdentify fraud patterns, emerging typologies, and detection gapsBuild the evidence base for new and tuned detection rulesDeliver rule recommendations with measured impact on false positives and detection ratesDesign and build dashboards, views, and management reporting on rule performance, alert outcomes, and fraud lossesTake a central role in the Microsoft Fabric data lake programmeDesign and build the fraud analytics layer on Microsoft FabricMentor and upskill the bank’s analyst team through knowledge transfer and pairing arrangementsSupport post-incident and thematic reviews with data deep-divesWork alongside L1/L2 analysts and the senior fraud investigator
Requirements
- Consultant-level experience in fraud or financial crime data analytics, typically 5+ years, within banking, payments or fintech
- Seniority to own the analytics agenda and advise, not just execute
- Strong Python and strong SQL; both essential and tested at screening
- Quantified track record of losses reduced, false positives cut, or detection improved
- Experience building operational dashboards and management reporting using Power BI, Tableau, or equivalent
- Experience with fraud platform data structures is advantageous but not required
- Ability to interrogate unfamiliar systems’ output
- Behavioural biometrics or card fraud platform exposure is a plus
- AML-blended analytics backgrounds welcome where data depth is genuine and fraud typology knowledge is sound
- Experience with cloud data platforms such as Azure, Fabric, Databricks, or similar is a strong plus
- Clear English and credibility to present analysis and recommendations to senior stakeholders
- Confirmed availability for immediate start
- Genuine willingness and ability to be onsite in Kuwait City from Month 3 to Month 6
- Passport with 12+ months’ validity required
Core Competencies
Expertise in fraud analytics and financial crime data analysis, with a strong focus on Python and SQL for data interrogation and dashboard creation. Proven ability to mentor teams and deliver actionable insights to senior stakeholders in a banking or fintech environment.
Highest-signal resume keywords
- Fraud Data Analytics
- Python Programming
- SQL Proficiency
- Power BI Dashboard Development
- Cloud Data Platforms
ATS Optimization Keywords
Hard Skills
- Fraud Detection
- Data Correlation
- Data Extraction
- Operational Dashboard Building
- Quantitative Analysis
Soft Skills
- Mentoring
- Communication
- Stakeholder Engagement
Industry Keywords
- Financial Crime
- Fraud Patterns
- AML Analytics
- Card Fraud
- Telemetries
Tools & Technologies
- Microsoft Fabric
- Power BI
- Tableau
- Azure
- Databricks
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