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Jobs / Data & Analytics Consultant in United Kingdom
14 days ago
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Capitex·14 days ago
14 days ago

Fraud Data Analytics Consultant - Remote from UK then onsite in Kuwait

London, United KingdomPart-timeRemoteMid · 5+ yearsData & Analytics Consultant

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Must-have skills for this role

  • python
  • sql
  • data analytics
  • fraud detection

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Apply faster with autofill FREEcapitex uses Workable - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

What you'll do

  • Query, extract and correlate data across multiple systems and databases - digital channel telemetry, card fraud alerts, case management records, core and online banking data - to identify fraud patterns, emerging typologies and detection gaps.
  • Convert analysis into action: build the evidence base for new and tuned detection rules, and deliver concrete rule recommendations to the operation's rule-writers, with measured impact on false positives and detection rates.
  • Design and build the dashboards, views and management reporting on rule performance, alert outcomes and fraud losses that the operation's leadership runs on.
  • Take a central role in the bank's new Microsoft Fabric data lake programme - designing and building the fraud analytics layer on it over the coming months.
  • Mentor and upskill the bank's own analyst team - knowledge transfer is an explicit and valued part of this seat, including through the operation's pairing arrangements.
  • Support post-incident and thematic reviews with data deep-dives, working alongside the team's L1/L2 analysts and senior fraud investigator.

What they're looking for

  • Consultant-level experience in fraud or financial crime data analytics - typically 5+ years - within banking, payments or fintech, with the seniority to own the analytics agenda and advise, not just execute.
  • Strong Python and strong SQL - both essential and both tested at screening.
  • A quantified track record: losses reduced, false positives cut, detection improved - with your name on the numbers.
  • Experience building operational dashboards and management reporting (Power BI, Tableau or equivalent).
  • Clear English and the credibility to present analysis and recommendations to senior stakeholders.
  • Confirmed availability for an immediate start and genuine willingness to be onsite in Kuwait City from Month 3 to Month 6. A passport with 12+ months' validity is required.

Nice to have

  • Experience with fraud platform data structures is an advantage, not a requirement - the ability to interrogate unfamiliar systems' output matters more than any named product. Behavioural biometrics or card fraud platform exposure is a plus.
  • AML-blended analytics backgrounds are welcome where the data depth is genuine and a sound working understanding of fraud typologies sits alongside it.
  • Experience with cloud data platforms (Azure, Fabric, Databricks or similar) is a strong plus given the data lake programme ahead.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

About the engagement

Capitex is a specialist Financial Crime Compliance talent provider. We are engaging a consultant-level Fraud Data Analyst for a 6-month engagement at the centre of a leading regional bank's 24/7 digital fraud operation - a build-phase environment where the data and analytics layer is being created, not inherited.

This is a 6-month consultancy engagement with a defined delivery model: the first two months are delivered fully remotely from the UK, 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. Working pattern is standard bank hours, Sunday to Thursday, with start-time flexibility for UK-based delivery during the remote phase.

The role

You will be the senior data capability of the fraud operation - a consultant, not a colleague: expected to own the analytics agenda, drive it forward, and mentor the bank's own analysts as you do. The operation runs a modern fraud estate spanning behavioural biometrics on the digital channels, an enterprise card fraud monitoring platform, a newly implemented fraud case management system, and the bank's core and online banking data. Your job is to make that estate speak: correlate data across all of it, find the fraud patterns, and convert what you find into detection.

What you will do

  • Query, extract and correlate data across multiple systems and databases - digital channel telemetry, card fraud alerts, case management records, core and online banking data - to identify fraud patterns, emerging typologies and detection gaps.
  • Convert analysis into action: build the evidence base for new and tuned detection rules, and deliver concrete rule recommendations to the operation's rule-writers, with measured impact on false positives and detection rates.
  • Design and build the dashboards, views and management reporting on rule performance, alert outcomes and fraud losses that the operation's leadership runs on.
  • Take a central role in the bank's new Microsoft Fabric data lake programme - designing and building the fraud analytics layer on it over the coming months.
  • Mentor and upskill the bank's own analyst team - knowledge transfer is an explicit and valued part of this seat, including through the operation's pairing arrangements.
  • Support post-incident and thematic reviews with data deep-dives, working alongside the team's L1/L2 analysts and senior fraud investigator.

Requirements

What we are looking for

  • Consultant-level experience in fraud or financial crime data analytics - typically 5+ years - within banking, payments or fintech, with the seniority to own the analytics agenda and advise, not just execute.
  • Strong Python and strong SQL - both essential and both tested at screening.
  • A quantified track record: losses reduced, false positives cut, detection improved - with your name on the numbers.
  • Experience building operational dashboards and management reporting (Power BI, Tableau or equivalent).
  • Experience with fraud platform data structures is an advantage, not a requirement - the ability to interrogate unfamiliar systems' output matters more than any named product. Behavioural biometrics or card fraud platform exposure is a plus.
  • AML-blended analytics backgrounds are welcome where the data depth is genuine and a sound working understanding of fraud typologies sits alongside it.
  • Experience with cloud data platforms (Azure, Fabric, Databricks or similar) is a strong plus given the data lake programme ahead.
  • Clear English and the credibility to present analysis and recommendations to senior stakeholders.
  • Confirmed availability for an immediate start and genuine willingness to be onsite in Kuwait City from Month 3 to Month 6. A passport with 12+ months' validity is required.

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.
  • Flight to Kuwait and visa sponsorship for the onsite phase covered; visa is client-sponsored.
  • Contracting through your own limited company is welcome - the end client is wholly overseas, so the UK off-payroll (IR35 Chapter 10) rules do not apply to this engagement; status assessment rests with your company.
  • Fees paid gross in USD with no deductions at source. Kuwait levies no personal income tax; your own tax position depends on your residence and is your responsibility.
  • Laptop provided by Capitex; client systems access configured by the bank.

Company

Capitex
London, United Kingdom

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Capitex's careers site·first seen 7 Sept 2026·last verified 8 Sept 2026·How we source jobs

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