Fraud Data Analyst Remote , Onsite

Department Icon Data Science Analytics & Machine Learning
Posted: 2 days ago
3-7 years
All India
Data Science Analytics & Machine Learning
work from home
Full Time
Closes 9 Jan 2027

Posted: 2 days ago
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Job Description

  • Fraud Data Analyst Remote , Onsite
  • Company: Capitex
  • Job Location: Remote (Work from home), India
  • Employment Type: Full-time
  • Experience Required: 3+ years
  • Position: Fraud Data Analyst Remote Start, Onsite
  • 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.
  • WHAT WE ARE LOOKING FOR
  • 3+ years in data analytics within fraud, financial crime or banking operations.
  • Strong SQL is essential; Python or R for analysis is a strong plus.
  • Experience with BI/visualisation tools (Power BI, Tableau or equivalent) and building operational dashboards.
  • Familiarity with fraud detection platforms and alert data structures (FICO Falcon, Actimize, SAS or equivalent) - enough to interrogate their output and support tuning.
  • Ability to present analysis clearly to operational and senior stakeholders in English.
  • Confirmed availability for an August 2026 start and genuine willingness to be onsite in Kuwait City from Month 3 to Month 6.
  • ENGAGEMENT DETAILS
  • 6-month consultancy agreement with Capitex, with extension possible on client renewal.
  • Competitive all-inclusive monthly consultancy fee, with an additional housing allowance during the onsite phase.
  • Visa, work authorisation and payroll for the Kuwait onsite phase are arranged and sponsored through our employer-of-record partner.
  • Laptop (Dell Latitude) provided by Capitex; client systems access configured by the bank.
  • Commencement is aligned to contract mobilisation - indicative start August 2026, confirmed at offer stage .

Skills

Data AnalystAnalystPower BITableauPythonFraud Detection PlatformsRData AnalyticsBIvisualisation ToolsActimizeFICO FalconSQL

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