Fraud Data Analytics Consultant – Onsite in Kuwait

Jobtailor

Greater London

On-site

GBP 90,000 - 130,000

Full time

9 days ago

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Job summary

Jobtailor is seeking a Senior Fraud Data Analytics Consultant to lead cross-channel analytics in a banking/fintech context. You will query, correlate, and derive insights from telemetry and transaction data to reduce fraud losses and false positives.

You will build dashboards with Power BI/Tableau, mentor analysts, and present recommendations to senior stakeholders. Willingness to be onsite in Kuwait City for months 3–6 is required.

Qualifications

Consultant-level experience in fraud or financial crime data analytics, typically 5+ years, within banking, payments or fintech
Senior to own 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

Responsibilities

Query, extract, and correlate data across digital channel telemetry, card fraud alerts, case management records, core banking data, and online banking data
Identify fraud patterns, emerging typologies, and detection gaps
Build the evidence base for new and tuned detection rules
Deliver rule recommendations with measured impact on false positives and detection rates
Design and build dashboards, views, and management reporting on rule performance, alert outcomes, and fraud losses
Take a central role in the Microsoft Fabric data lake programme
Design and build the fraud analytics layer on Microsoft Fabric
Mentor and upskill the bank's analyst team through knowledge transfer and pairing arrangements
Support post-incident and thematic reviews with data deep-dives
Work alongside L1/L2 analysts and the senior fraud investigator

Skills

Python Programming

SQL Proficiency

Power BI

Tableau

Cloud Data Platforms

Microsoft Fabric

Databricks

Data Interrogation

Tools

Microsoft Fabric

Power BI

Tableau

Azure

Databricks

Job description

Query, extract, and correlate data across digital channel telemetry, card fraud alerts, case management records, core banking data, and online banking data
Identify fraud patterns, emerging typologies, and detection gaps
Build the evidence base for new and tuned detection rules
Deliver rule recommendations with measured impact on false positives and detection rates
Design and build dashboards, views, and management reporting on rule performance, alert outcomes, and fraud losses
Take a central role in the Microsoft Fabric data lake programme
Design and build the fraud analytics layer on Microsoft Fabric
Mentor and upskill the bank's analyst team through knowledge transfer and pairing arrangements
Support post-incident and thematic reviews with data deep-dives
Work 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.

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