Fraud Data Analytics Consultant - Remote, Onsite Kuwait

Capitex; Greater London; Hybrid; GBP 116,000 - 165,000; Full time

Benefits offered by this job

Housing allowance during onsite phase

Flight to Kuwait and visa sponsorship

Passport and relocation support

Laptop provided

Job summary

Capitex is engaging a consultant-level Fraud Data Analyst for a 6-month engagement at a leading regional bank. You will own the analytics agenda, drive detection improvements, and mentor the bank's analysts. The role spans remote UK work for the first two months, then onsite in Kuwait City from Month 3 to 6.

You will query across digital channels, card fraud, case management, and core banking data to identify patterns, design rules, and build dashboards to track performance and losses.

Qualifications

• Consultant-level fraud/financial crime analytics experience (5+ years).
• Strong Python and SQL mastery.
• Proven track record reducing losses and false positives.
• Experience building dashboards (Power BI/Tableau).
• Familiarity with fraud data structures; behavioural biometrics a plus.
• Background in AML analytics welcomed where data depth is strong.

Responsibilities

• Query, extract and correlate data across systems to identify fraud patterns.
• Translate analyses into detection rules and quantify impact on false positives/detections.
• Design dashboards and reporting for leadership on rule performance and losses.
• Lead the bank's fraud analytics layer on the new Microsoft Fabric data lake.
• Mentor and upskill the bank's analysts; engage in pairing with the team.
• Support post-incident reviews with data deep-dives alongside L1/L2 analysts.

Skills

Python

SQL

Power BI

Tableau

Tools

Azure

Databricks

Job description

Capitex is engaging a consultant-level Fraud Data Analyst for a 6-month engagement at a leading regional bank. You will own the analytics agenda, drive detection improvements, and mentor the bank's analysts. The role spans remote UK work for the first two months, then onsite in Kuwait City from Month 3 to 6.

You will query across digital channels, card fraud, case management, and core banking data to identify patterns, design rules, and build dashboards to track performance and losses.