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Card Fraud Analyst

Duplo

Posted 6 months agoLagos, Nigeria

Location

Lagos, Nigeria

Job Type

Full-time

Experience

Mid-Level

Category

Finance

Job Description

Duplo is a Lagos-based fintech startup that enables businesses in Africa to automate their spend management, simplify cross-border payments, and control business finances all on one platform. We are looking for a Card Fraud Analyst (Acquiring) to join our team, with a strong focus on acquiring-side card fraud, merchant chargebacks, and investigations within our Atlas product. Incorporate card scheme indicators and internal machine learning signals into static fraud rules to improve accuracy and effectiveness. Solid understanding of payment gateways, acquiring banks, and merchant processors, including knowledge of network-specific chargeback procedures (Visa, Mastercard, etc.).
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Requirements

  • 4–5 years of experience in fraud prevention, risk management, or payments risk, with a strong focus on card fraud.
  • Solid understanding of card payment flows, including authorisation, post-authorisation, chargebacks.
  • Detailed understanding of the operational aspects of payment cards, mobile payments, the fintech and banking industry.
  • Strong problem-solving skills, with the ability to work independently in ambiguous or fast-paced environments.
  • Excellent written and verbal communication skills.

Responsibilities

  • Safeguard customers against unauthorised card activity, scams, and payment instrument or account takeover fraud.
  • Review and enhance fraud controls across authorisation, post-authorisation, and tokenisation flows.
  • Contribute to longer-term initiatives aimed at reducing card fraud and improving overall risk posture.
  • Act as an escalation point for card fraud prevention topics for customer-facing Operations teams.
  • Independently manage and prioritise competing workflows, including team initiatives and external escalations.
  • Assess and articulate the impact of fraud rules on customer spend, approval rates, and user experience.
  • Produce clear, high-quality analysis that directly addresses business and risk problems.
  • Write, test, and maintain analytical code independently and collaboratively.
  • Provide timely data, insights, and analysis to support fraud incidents and investigations.
  • Analyse card fraud disputes and emerging trends to identify weaknesses or opportunities within existing fraud prevention rules.
  • Partner closely with Product and Engineering teams to evolve the rule engine and improve the end-to-end fraud customer journey.