Why this role stands out
This hybrid role offers an exciting opportunity to contribute to a leading Kuwaiti bank's digital fraud operations, starting with two months of remote work before relocating to Kuwait City. You'll leverage your analytical skills to drive fraud detection improvements and gain valuable experience within a dynamic financial crime compliance environment. This position is ideal for a detail-oriented Fraud Data Analyst eager to make a significant impact and expand their international career.
Quick overview
Job description
ABOUT THE ENGAGEMENT
Capitex is a specialist Financial Crime Compliance talent provider. We are building a fraud operations team for a 6-month staffing engagement with a leading Kuwaiti bank's 24/7 digital fraud operations function.
This is a 6-month consultancy engagement with a defined delivery model: the first two months are delivered fully remotely, and from Month 3 the role relocates onsite to the bank's offices in Kuwait City for the remainder of the term. Onsite presence in Kuwait from Month 3 is a firm requirement of the role, not a preference - please only apply if you are genuinely able and willing to relocate for the onsite phase.
THE ROLE
You will be the analytical engine of the fraud operations team: turning alert, transaction and case data into detection improvements, management information and tuning decisions. You will work under the bank's direction, alongside Capitex L1 and L2 analysts and a senior fraud investigator, and be the bridge between what the operation sees and what the detection estate does.
WHAT YOU WILL DO
- Analyse fraud alert and case data to identify trends, emerging typologies, detection gaps and false-positive drivers.
- Support rule and threshold tuning on the bank's fraud monitoring platform - build the evidence base, model the impact, and document proposed changes for the bank's approval.
- Design and produce operational MI: alert volumes, disposition outcomes, SLA performance, fraud losses and prevented losses, shift-level throughput.
- Build and maintain dashboards and recurring reporting for the fraud operations leadership team.
- Support post-incident and thematic reviews with data deep-dives.
- Work with L2 and the senior investigator to convert case observations into measurable detection improvements.
ABOUT THE ENGAGEMENT
Capitex is a specialist Financial Crime Compliance talent provider. We are building a fraud operations team for a 6-month staffing engagement with a leading Kuwaiti bank's 24/7 digital fraud operations function.
This is a 6-month consultancy engagement with a defined delivery model: the first two months are delivered fully remotely, and from Month 3 the role relocates onsite to the bank's offices in Kuwait City for the remainder of the term. Onsite presence in Kuwait from Month 3 is a firm requirement of the role, not a preference - please only apply if you are genuinely able and willing to relocate for the onsite phase.
THE ROLE
You will be the analytical engine of the fraud operations team: turning alert, transaction and case data into detection improvements, management information and tuning decisions. You will work under the bank's direction, alongside Capitex L1 and L2 analysts and a senior fraud investigator, and be the bridge between what the operation sees and what the detection estate does.
WHAT YOU WILL DO
- Analyse fraud alert and case data to identify trends, emerging typologies, detection gaps and false-positive drivers.
- Support rule and threshold tuning on the bank's fraud monitoring platform - build the evidence base, model the impact, and document proposed changes for the bank's approval.
- Design and produce operational MI: alert volumes, disposition outcomes, SLA performance, fraud losses and prevented losses, shift-level throughput.
- Build and maintain dashboards and recurring reporting for the fraud operations leadership team.
- Support post-incident and thematic reviews with data deep-dives.
- Work with L2 and the senior investigator to convert case observations into measurable detection improvements.
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