Fraud Analyst

NymCard · Dubai

Hybrid: DubaiFull TimeFinance & Banking
Posted Today

Job description

Responsibilities

  • Track real-time card signals including BIN/ENUM testing, CNP spikes, and AFD patterns
  • Recommend rule tuning based on MCC/MID lists, tokenization, and velocity settings
  • Conduct end-to-end investigations of alerts and document verification steps
  • Track Visa/Mastercard fraud programs and support submissions with processors
  • Advise cardholders on dispute tickets and coordinate with the Disputes team
  • Maintain fraud trackers and keep SOPs/playbooks current
  • Review changes to card features like provisioning, limits, and 3DS flows
  • Participate in an agreed on-call/after-hours rotation

Requirements

  • 4–6 years in card-fraud monitoring or investigation on the issuer side in fintech or banking
  • Strong grasp of typologies such as enumeration, BIN testing, and social engineering
  • Hands-on experience with rule engines, velocity controls, and MCC/MID controls
  • Working knowledge of Visa/Mastercard alerts and coordination with sponsor banks
  • Awareness of 3DS, tokenization, and limits/velocity impacts
  • Disciplined documentation skills for evidence and incident updates

Preferred Qualifications

  • SQL for data analysis
  • Experience with case-management tools like Jira
  • Chargeback exposure
  • Collaboration experience with AML on STR referrals

About the Company

NymCard's mission is to enable fintech and financial innovators to launch frictionless payment programmes with our modern infrastructure, at record speed. Our open API modern card issuing platform provides flexibility and control to issue cards, authorise transactions, and manage payment operations.

Skills & tools

SQLFintech

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 014-6 years card-fraud monitoring experience
  2. 02Knowledge of Visa/Mastercard fraud programs
  3. 03Experience with rule engines and velocity controls
  4. 04Understanding of 3DS and tokenization
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