Fraud Data Analyst Consultant (6-Month Engagement)

Capitex, a specialist Financial Crime Compliance talent provider, is engaging a consultant-level Fraud Data Analyst for a 6-month build-phase environment at a leading regional bank’s 24/7 digital fraud operation. The role involves creating the data and analytics layer from scratch, not inheriting an existing one.

The engagement spans two distinct phases: the first two months are fully remote from the UK, followed by a mandatory onsite relocation to the bank’s offices in Kuwait City for the remaining four months. Working hours are standard bank hours (Sunday to Thursday), with flexible start times during the remote phase.

As the senior data capability of the fraud operation, you will act as a consultant—not a colleague—owning the analytics agenda, driving it forward, and mentoring the bank’s own analysts. The operation leverages a modern fraud estate, including behavioural biometrics on digital channels, an enterprise card fraud monitoring platform, a newly implemented fraud case management system, and core/online banking data. Your role is to correlate data across these systems, identify fraud patterns, and translate findings into actionable detection strategies.

The Role:

• Query, extract, and correlate data across multiple systems (digital telemetry, card fraud alerts, case management records, core/online banking data) to uncover fraud patterns, emerging typologies, and detection gaps.
• Convert analysis into actionable insights by building evidence for new or refined detection rules, delivering measurable recommendations to rule-writers that improve false positives and detection rates.
• Design and build dashboards, views, and management reports on rule performance, alert outcomes, and fraud losses for leadership review.
• Take a central role in the bank’s new Microsoft Fabric data lake program, designing and building the fraud analytics layer over the coming months.
• Mentor and upskill the bank’s analyst team through knowledge transfer, including pairing arrangements.
• Support post-incident and thematic reviews with data deep-dives, collaborating with L1/L2 analysts and senior fraud investigators.

Requirements

What We Are Looking For:

• Consultant-level experience in fraud or financial crime data analytics, typically 5+ years, within banking, payments, or fintech. You must have the seniority to own the analytics agenda and advise—not just execute.
• Proficiency in Python and SQL—both are essential and will be tested during screening.
• A quantified track record demonstrating losses reduced, false positives minimized, and detection rates improved, with your name directly tied to these results.
• Experience building operational dashboards and management reporting using tools like Power BI or Tableau.
• Experience with fraud platform data structures is advantageous but not mandatory. The ability to interrogate unfamiliar systems’ outputs is more critical than familiarity with specific products. Exposure to behavioural biometrics or card fraud platforms is a plus.
• AML-blended analytics backgrounds are welcome if they include genuine data depth and a robust understanding of fraud typologies.
• Experience with cloud data platforms (Azure, Fabric, Databricks, or similar) is a strong plus due to the upcoming data lake program.
• Clear communication skills and the ability to present analysis and recommendations to senior stakeholders.
• Confirmed availability for an immediate start and willingness to relocate to Kuwait City from Month 3 to Month 6. A passport with 12+ months validity is required.